[ { "key": "I6Q3V8GT", "version": 106, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/I6Q3V8GT", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/I6Q3V8GT", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2043567, "username": "diebosto", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/diebosto", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1243267, "username": "elfusgar", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/elfusgar", "type": "text/html" } } }, "creatorSummary": "Boscá et al.", "parsedDate": "2015-06", "numChildren": 1 }, "data": { "key": "I6Q3V8GT", "version": 106, "itemType": "journalArticle", "title": "Automatic generation of computable implementation guides from clinical information models", "creators": [ { "creatorType": "author", "firstName": "Diego", "lastName": "Boscá" }, { "creatorType": "author", "firstName": "José Alberto", "lastName": "Maldonado" }, { "creatorType": "author", "firstName": "David", "lastName": "Moner" }, { "creatorType": "author", "firstName": "Montserrat", "lastName": "Robles" } ], "abstractNote": "Clinical information models are increasingly used to describe the contents of Electronic Health Records. Implementation guides are a common specification mechanism used to define such models. They contain, among other reference materials, all the constraints and rules that clinical information must obey. However, these implementation guides typically are oriented to human-readability, and thus cannot be processed by computers. As a consequence, they must be reinterpreted and transformed manually into an executable language such as Schematron or Object Constraint Language (OCL). This task can be difficult and error prone due to the big gap between both representations. The challenge is to develop a methodology for the specification of implementation guides in such a way that humans can read and understand easily and at the same time can be processed by computers. In this paper, we propose and describe a novel methodology that uses archetypes as basis for generation of implementation guides. We use archetypes to generate formal rules expressed in Natural Rule Language (NRL) and other reference materials usually included in implementation guides such as sample XML instances. We also generate Schematron rules from NRL rules to be used for the validation of data instances. We have implemented these methods in LinkEHR, an archetype editing platform, and exemplify our approach by generating NRL rules and implementation guides from EN ISO 13606, openEHR, and HL7 CDA archetypes.", "publicationTitle": "Journal of Biomedical Informatics", "publisher": "", "place": "", "date": "Jun 2015", "volume": "55", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "143-152", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "J Biomed Inform", "DOI": "10.1016/j.jbi.2015.04.002", "citationKey": "", "url": "", "accessDate": "", "PMID": "25910958", "PMCID": "", "ISSN": "1532-0480", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2015-11-09T10:33:07Z", "dateModified": "2015-11-09T10:33:07Z" } }, { "key": "V9T7DAIS", "version": 102, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/V9T7DAIS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/V9T7DAIS", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/186336/items/I6Q3V8GT", "type": "application/json" } }, "meta": { "createdByUser": { "id": 2043567, "username": "diebosto", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/diebosto", "type": "text/html" } } } }, "data": { "key": "V9T7DAIS", "version": 102, "parentItem": "I6Q3V8GT", "itemType": "attachment", "linkMode": "linked_url", "title": "PubMed entry", "accessDate": "2015-09-14T11:13:16Z", "url": "http://www.ncbi.nlm.nih.gov/pubmed/25910958", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2015-11-09T10:33:07Z", "dateModified": "2015-11-09T10:33:07Z" } }, { "key": "DXXW57V7", "version": 101, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/DXXW57V7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/DXXW57V7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1107280, "username": "miesman", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/miesman", "type": "text/html" } } }, "creatorSummary": "Javier et al.", "parsedDate": "2015-05-15", "numChildren": 0 }, "data": { "key": "DXXW57V7", "version": 101, "itemType": "journalArticle", "title": "Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification", "creators": [ { "creatorType": "author", "firstName": "Juan-Albarracín", "lastName": "Javier" }, { "creatorType": "author", "firstName": "Fuster-Garcia", "lastName": "Elies" }, { "creatorType": "author", "firstName": "Manjón", "lastName": "José V." }, { "creatorType": "author", "firstName": "Robles", "lastName": "Montserrat" }, { "creatorType": "author", "firstName": "Aparici", "lastName": "F." }, { "creatorType": "author", "firstName": "Martí-Bonmatí", "lastName": "L." }, { "creatorType": "author", "firstName": "García-Gómez", "lastName": "Juan M." } ], "abstractNote": "Automatic brain tumour segmentation has become a key component for the future of brain tumour treatment. Currently, most of brain tumour segmentation approaches arise from the supervised learning standpoint, which requires a labelled training dataset from which to infer the models of the classes. The performance of these models is directly determined by the size and quality of the training corpus, whose retrieval becomes a tedious and time-consuming task. On the other hand, unsupervised approaches avoid these limitations but often do not reach comparable results than the supervised methods. In this sense, we propose an automated unsupervised method for brain tumour segmentation based on anatomical Magnetic Resonance (MR) images. Four unsupervised classification algorithms, grouped by their structured or non-structured condition, were evaluated within our pipeline. Considering the non-structured algorithms, we evaluated K-means, Fuzzy K-means and Gaussian Mixture Model (GMM), whereas as structured classification algorithms we evaluated Gaussian Hidden Markov Random Field (GHMRF). An automated postprocess based on a statistical approach supported by tissue probability maps is proposed to automatically identify the tumour classes after the segmentations. We evaluated our brain tumour segmentation method with the public BRAin Tumor Segmentation (BRATS) 2013 Test and Leaderboard datasets. Our approach based on the GMM model improves the results obtained by most of the supervised methods evaluated with the Leaderboard set and reaches the second position in the ranking. Our variant based on the GHMRF achieves the first position in the Test ranking of the unsupervised approaches and the seventh position in the general Test ranking, which confirms the method as a viable alternative for brain tumour segmentation.", "publicationTitle": "PLOS One", "publisher": "", "place": "", "date": "2015-5-15", "volume": "10", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "1-20", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1371/journal.pone.0125143", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2015-07-29T10:59:17Z", "dateModified": "2015-07-29T10:59:17Z" } }, { "key": "4PI59FIE", "version": 99, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/4PI59FIE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/4PI59FIE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1107280, "username": "miesman", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/miesman", "type": "text/html" } } }, "creatorSummary": "García-Gómez et al.", "parsedDate": "2009-01-02", "numChildren": 0 }, "data": { "key": "4PI59FIE", "version": 99, "itemType": "journalArticle", "title": "Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy", "creators": [ { "creatorType": "author", "firstName": "Juan M.", "lastName": "García-Gómez" }, { "creatorType": "author", "firstName": "Jan", "lastName": "Luts" }, { "creatorType": "author", "firstName": "Margarida", "lastName": "Julià-Sapé" }, { "creatorType": "author", "firstName": "Patrick", "lastName": "Krooshof" }, { "creatorType": "author", "firstName": "Salvador", "lastName": "Tortajada" }, { "creatorType": "author", "firstName": "Javier Vicente", "lastName": "Robledo" }, { "creatorType": "author", "firstName": "Willem", "lastName": "Melssen" }, { "creatorType": "author", "firstName": "Elies", "lastName": "Fuster-García" }, { "creatorType": "author", "firstName": "Iván", "lastName": "Olier" }, { "creatorType": "author", "firstName": "Geert", "lastName": "Postma" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Monleón" }, { "creatorType": "author", "firstName": "Àngel", "lastName": "Moreno-Torres" }, { "creatorType": "author", "firstName": "Jesús", "lastName": "Pujol" }, { "creatorType": "author", "firstName": "Ana-Paula", "lastName": "Candiota" }, { "creatorType": "author", "firstName": "M. Carmen", "lastName": "Martínez-Bisbal" }, { "creatorType": "author", "firstName": "Johan", "lastName": "Suykens" }, { "creatorType": "author", "firstName": "Lutgarde", "lastName": "Buydens" }, { "creatorType": "author", "firstName": "Bernardo", "lastName": "Celda" }, { "creatorType": "author", "firstName": "Sabine", "lastName": "Huffel" }, { "creatorType": "author", "firstName": "Carles", "lastName": "Arús" }, { "creatorType": "author", "firstName": "Montserrat", "lastName": "Robles" } ], "abstractNote": "", "publicationTitle": "Magnetic Resonance Materials in Physics, Biology and Medicine", "publisher": "", "place": "", "date": "2009-1-2", "volume": "22", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "5-18", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1007/s10334-008-0146-y", "citationKey": "", "url": "http://link.springer.com/10.1007/s10334-008-0146-y", "accessDate": "2013-07-19T08:19:53Z", "PMID": "", "PMCID": "", "ISSN": "0968-5243, 1352-8661", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2013-07-19T08:20:20Z", "dateModified": "2015-07-29T10:51:38Z" } }, { "key": "8TBIX8WZ", "version": 95, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/8TBIX8WZ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/8TBIX8WZ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1788032, "username": "carsaesi", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/carsaesi", "type": "text/html" } } }, "creatorSummary": "Croitoru et al.", "parsedDate": "2007", "numChildren": 0 }, "data": 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"author", "firstName": "Francesc", "lastName": "Estanyol" }, { "creatorType": "author", "firstName": "Xavier", "lastName": "Rafael" }, { "creatorType": "author", "firstName": "Mariola", "lastName": "Mier" } ], "abstractNote": "", "proceedingsTitle": "", "conferenceName": "", "publisher": "IEEE", "place": "", "date": "06/2007", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "618-623", "series": "", "seriesNumber": "", "DOI": "10.1109/CBMS.2007.36", "ISBN": "0-7695-2905-4", "citationKey": "", "url": "http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4262717", "accessDate": "2014-09-15T14:36:15Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-09-15T14:36:15Z", "dateModified": "2014-09-15T14:36:15Z" } }, { "key": "JA6RPQXM", "version": 95, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/JA6RPQXM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/JA6RPQXM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1788032, "username": "carsaesi", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/carsaesi", "type": "text/html" } } }, "creatorSummary": "Xiao et al.", "parsedDate": "2007", "numChildren": 0 }, "data": { "key": "JA6RPQXM", "version": 95, "itemType": "conferencePaper", "title": "An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment", "creators": [ { "creatorType": "author", "firstName": "Liang", "lastName": "Xiao" }, { "creatorType": "author", "firstName": "Andrew", "lastName": "Peet" }, { "creatorType": "author", "firstName": "Paul", "lastName": "Lewis" }, { "creatorType": "author", "firstName": "Srinandan", "lastName": "Dashmapatra" }, { "creatorType": "author", "firstName": "Carlos", "lastName": "Saez" }, { "creatorType": "author", "firstName": "Madalina", "lastName": "Croitoru" }, { "creatorType": "author", "firstName": "Javier", "lastName": "Vicente" }, { "creatorType": "author", "firstName": "Horacio", "lastName": "Gonzalez-Velez" }, { "creatorType": "author", "firstName": "Magi Lluch i", "lastName": "Ariet" } ], "abstractNote": "", "proceedingsTitle": "", "conferenceName": "", "publisher": "IEEE", "place": "", "date": "07/2007", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "261-268", "series": "", "seriesNumber": "", "DOI": "10.1109/COMPSAC.2007.55", "ISBN": "0-7695-2870-8", "citationKey": "", "url": "http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4291134", "accessDate": "2014-09-15T14:36:03Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", 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"series": "", "seriesNumber": "", "DOI": "10.1109/COMPSAC.2007.55", "ISBN": "0-7695-2870-8", "citationKey": "", "url": "http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4291134", "accessDate": "2014-09-15T14:35:39Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-09-15T14:35:39Z", "dateModified": "2014-09-15T14:35:39Z" } }, { "key": "DFZ4SN28", "version": 93, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/DFZ4SN28", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/DFZ4SN28", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1788032, "username": "carsaesi", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/carsaesi", "type": "text/html" } } }, "creatorSummary": "Lluch-Ariet et al.", "parsedDate": "2007", "numChildren": 0 }, "data": { "key": "DFZ4SN28", "version": 93, "itemType": "bookSection", "title": "On the Implementation of HealthAgents: Agent-Based Brain Tumour Diagnosis", "creators": [ { "creatorType": "editor", "firstName": "Roberta", "lastName": "Annicchiarico" }, { "creatorType": "editor", "firstName": "Ulises", "lastName": "Cortés" }, { "creatorType": "editor", "firstName": "Cristina", "lastName": "Urdiales" }, { "creatorType": "author", "firstName": "Magí", "lastName": "Lluch-Ariet" }, { "creatorType": "author", "firstName": "Francesc", "lastName": "Estanyol" }, { "creatorType": "author", "firstName": "Mariola", "lastName": "Mier" }, { "creatorType": "author", "firstName": "Carla", "lastName": "Delgado" }, { "creatorType": "author", "firstName": "Horacio", "lastName": "González-Vélez" }, { "creatorType": "author", "firstName": "Tiphaine", "lastName": "Dalmas" }, { "creatorType": "author", "firstName": "Montserrat", "lastName": "Robles" }, { "creatorType": "author", "firstName": "Carlos", "lastName": "Sáez" }, { "creatorType": "author", "firstName": "Javier", "lastName": "Vicente" }, { "creatorType": "author", "firstName": "Sabine", "lastName": "Van Huffel" }, { "creatorType": "author", "firstName": "Jan", "lastName": "Luts" }, { "creatorType": "author", "firstName": "Carles", "lastName": "Arús" }, { "creatorType": "author", "firstName": "Ana Paula Candiota", "lastName": "Silveira" }, { "creatorType": "author", "firstName": "Margarida", "lastName": "Julià-Sapé" }, { "creatorType": "author", "firstName": "Andrew", "lastName": "Peet" }, { "creatorType": "author", "firstName": "Alex", "lastName": "Gibb" }, { "creatorType": "author", "firstName": "Yu", "lastName": "Sun" }, { "creatorType": "author", "firstName": "Bernardo", "lastName": "Celda" }, { "creatorType": "author", "firstName": 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"", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2014-09-15T14:35:18Z", "dateModified": "2014-09-15T14:35:18Z" } }, { "key": "CCUPDVWJ", "version": 90, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/CCUPDVWJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/CCUPDVWJ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1788032, "username": "carsaesi", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/carsaesi", "type": "text/html" } } }, "creatorSummary": "Hu et al.", "parsedDate": "2011", "numChildren": 0 }, "data": { "key": "CCUPDVWJ", "version": 90, "itemType": "journalArticle", "title": "The HealthAgents ontology: knowledge representation in a distributed decision 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Although several efforts have been made in recent years to develop smaller and more portable devices, the features necessary for the continuous monitoring of outpatients require a less intrusive, obstructive and stigmatizing acquisition system. A useful strategy to overcome these limitations is based on adapting the monitoring system to the patient lifestyle and behavior by providing sets of different sensors that can be worn simultaneously or alternatively. This strategy offers to the patient the option of using one device or other according to his/her particular preferences. However this strategy requires a robust multi-sensor fusion methodology capable of taking maximum profit from all of the recorded information. With this aim, this study proposes two actigraphy fusion models including centralized and distributed architectures based on artificial neural networks. These novel fusion methods were tested both on synthetic datasets and real datasets, providing a parametric characterization of the models’ behavior, and yielding results based on real case applications. The results obtained using both proposed fusion models exhibit good performance in terms of robustness to signal degradation, as well as a good behavior in terms of the dependence of signal quality on the number of signals fused. The distributed and centralized fusion methods reduce the mean averaged error of the original signals to 44 % and 46 % respectively when using simulated datasets. The proposed methods may therefore facilitate a less intrusive and more dependable way of acquiring valuable monitoring information from outpatients.", "publicationTitle": "Information Fusion", "publisher": "", "place": "", "date": "", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Information Fusion", "DOI": "10.1016/j.inffus.2014.08.003", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S156625351400089X", "accessDate": "2014-09-10T07:31:51Z", "PMID": "", "PMCID": "", "ISSN": "1566-2535", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Actigraphy", "type": 1 }, { "tag": "Major depression", "type": 1 }, { "tag": "Multi-sensor fusion", "type": 1 }, { "tag": "Outpatient monitoring", "type": 1 }, { "tag": "artificial neural networks", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-09-10T07:31:51Z", "dateModified": "2014-09-10T07:31:51Z" } }, { "key": "2FD6QTZR", "version": 77, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/2FD6QTZR", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/2FD6QTZR", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1788032, "username": "carsaesi", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/carsaesi", "type": "text/html" } } }, "creatorSummary": "Sáez et al.", "parsedDate": "2014-09-02", "numChildren": 0 }, "data": { "key": "2FD6QTZR", "version": 77, "itemType": "journalArticle", "title": "Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality", "creators": [ { "creatorType": "author", "firstName": "Carlos", "lastName": "Sáez" }, { "creatorType": "author", "firstName": "Pedro Pereira", "lastName": "Rodrigues" }, { "creatorType": "author", "firstName": "João", "lastName": "Gama" }, { "creatorType": "author", "firstName": "Montserrat", "lastName": "Robles" }, { "creatorType": "author", "firstName": "Juan M.", "lastName": "García-Gómez" } ], "abstractNote": "", "publicationTitle": "Data Mining and Knowledge Discovery", "publisher": "", "place": "", "date": "2014-9-2", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1007/s10618-014-0378-6", "citationKey": "", "url": "http://link.springer.com/10.1007/s10618-014-0378-6", "accessDate": "2014-09-09T15:41:47Z", "PMID": "", "PMCID": "", "ISSN": "1384-5810, 1573-756X", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2014-09-09T15:41:47Z", "dateModified": "2014-09-09T15:41:47Z" } }, { "key": "SJSNBNQK", "version": 76, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/SJSNBNQK", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/SJSNBNQK", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1788032, "username": "carsaesi", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/carsaesi", "type": "text/html" } } }, "creatorSummary": "Saez et al.", "parsedDate": "2014-08-04", "numChildren": 1 }, "data": { "key": "SJSNBNQK", "version": 76, "itemType": "journalArticle", "title": "Stability metrics for multi-source biomedical data based on simplicial projections from probability distribution distances", "creators": [ { "creatorType": "author", "firstName": "C.", "lastName": "Saez" }, { "creatorType": "author", "firstName": "M.", "lastName": "Robles" }, { "creatorType": "author", "firstName": "J. M.", "lastName": "Garcia-Gomez" } ], "abstractNote": "", "publicationTitle": "Statistical Methods in Medical Research", "publisher": "", "place": "", "date": "2014-08-04", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1177/0962280214545122", "citationKey": "", "url": "http://smm.sagepub.com/cgi/doi/10.1177/0962280214545122", "accessDate": "2014-09-09T15:41:04Z", "PMID": "", "PMCID": "", "ISSN": "0962-2802, 1477-0334", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2014-09-09T15:41:04Z", "dateModified": "2014-09-09T15:41:04Z" } }, { "key": "KDZ8IEGJ", "version": 73, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/KDZ8IEGJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/KDZ8IEGJ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1934378, "username": "juanMtz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmtz", "type": "text/html" } } }, "creatorSummary": "Martínez-Miranda et al.", "parsedDate": "2014-08", "numChildren": 0 }, "data": { "key": "KDZ8IEGJ", "version": 73, "itemType": "bookSection", "title": "Look on the Bright Side: A Model of Cognitive Change in Virtual Agents", "creators": [ { "creatorType": "author", "firstName": "J.", "lastName": "Martínez-Miranda" }, { "creatorType": "author", "firstName": "A.", "lastName": "Bresó" }, { "creatorType": "author", "firstName": "J. M.", "lastName": "Garcia-Gomez" } ], "abstractNote": "The modelling of empathic reactions in virtual agents has\nbeen recognised as a key aspect to improve agent-user relationship. Empathy is particularly important in a virtual agent used in computer-based psychotherapy applications. From a clinical perspective, it is more useful\nto produce therapeutic-empathy responses in the agent and not only natural empathic reactions as response to patient’s inputs. Based on Gross’s theory of emotion regulation, this paper presents a model of cognitive change used to reappraise with a more positive perspective those negative situations reported by the user and provide an adequate emotional reaction during the interaction. An initial evaluation of the model is also presented and the further work is described.", "bookTitle": "Intelligent Virtual Agents", "series": "LNAI", "seriesNumber": "", "volume": "8637", "numberOfVolumes": "", "edition": "", "date": "August, 2014", "publisher": "Springer International Publishing", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "pages": "285-294", "ISBN": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "English", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-07-03T11:11:58Z", "dateModified": "2014-07-03T11:17:21Z" } }, { "key": "XM4HKIN8", "version": 65, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/XM4HKIN8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/XM4HKIN8", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1107280, "username": "miesman", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/miesman", "type": "text/html" } } }, "lastModifiedByUser": { "id": 624875, "username": "juanmig", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmig", "type": "text/html" } } }, "creatorSummary": "Garcia-Gómez et al.", "parsedDate": "2004", "numChildren": 0 }, "data": { "key": "XM4HKIN8", "version": 65, "itemType": "journalArticle", "title": "Distributed Decision Support Architecture for Soft Tissue Tumor Diagnosis", "creators": [ { "creatorType": "author", "firstName": "Juan M", "lastName": "Garcia-Gómez" }, { "creatorType": "author", "firstName": "Cesar", "lastName": "Vidal" }, { "creatorType": "author", "firstName": "Luis", "lastName": "Marti-bonmati" } ], "abstractNote": "", "publicationTitle": "", "publisher": "", "place": "", "date": "2004", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "SIGAWH4X" ], "relations": {}, "dateAdded": "2013-10-24T07:26:21Z", "dateModified": "2014-05-21T12:41:34Z" } }, { "key": "UAGERJFQ", "version": 64, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/UAGERJFQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/UAGERJFQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1934378, "username": "juanMtz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmtz", "type": "text/html" } } }, "lastModifiedByUser": { "id": 624875, "username": "juanmig", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmig", "type": "text/html" } } }, "creatorSummary": "Castro et al.", "parsedDate": "2011", "numChildren": 0 }, "data": { "key": "UAGERJFQ", "version": 64, "itemType": "conferencePaper", "title": "Help4Mood – Distributed System to Support Treatment of Patients with Major Depression", "creators": [ { "creatorType": "author", "firstName": "J C", "lastName": "Castro" }, { "creatorType": "author", "firstName": "J", "lastName": "Benseny" }, { "creatorType": "author", "firstName": "J", "lastName": "Colomé" }, { "creatorType": "author", "firstName": "J", "lastName": "Martínez-Miranda" }, { "creatorType": "editor", "firstName": "M.", "lastName": "Jordanova" }, { "creatorType": "editor", "firstName": "F.", "lastName": "Lievens" } ], "abstractNote": "Help4Mood is a project inside 7th European Framework Programme for developing a computational distributed system to support remotely the treatment of patients with major depression at home. One of the main goals of this system is to use the paradigm of a Virtual Agent to support the first symptoms of clinician alert of a patient, to interact with him an to prevent some causes of relapse. The system processes inputs from different devices (to monitor sleeping, speech and motor activity) in a decision support system, and the virtual agent interacts with the patient before clinical support from hospital is needed. This paper also presents the first ideas towards the further development of this virtual agent to support the treatment of major depression.", "proceedingsTitle": "The International eHealth, Telemedicine and Health ICT Forum For Education, Networking and Business (MedeTel, 2011)", "conferenceName": "", "publisher": "International Society for Telemedicine & eHealth (ISfTeH)", "place": "Luxembourg", "date": "2011", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "301 – 307", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "00000", "tags": [ { "tag": "Help4Mood" }, { "tag": "Telemedicine" }, { "tag": "e-Health" } ], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-05-19T09:51:44Z", "dateModified": "2014-05-20T11:56:01Z" } }, { "key": "S5KMDVKZ", "version": 64, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/S5KMDVKZ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/S5KMDVKZ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1934378, "username": "juanMtz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmtz", "type": "text/html" } } }, "lastModifiedByUser": { "id": 624875, "username": "juanmig", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmig", "type": "text/html" } } }, "creatorSummary": "Martínez-Miranda et al.", "parsedDate": "2012", "numChildren": 0 }, "data": { "key": "S5KMDVKZ", "version": 64, "itemType": "bookSection", "title": "The Construction of a Cognitive-Emotional Module for the Help4Mood's Virtual Agent", "creators": [ { "creatorType": "author", "firstName": "J", "lastName": "Martínez-Miranda" }, { "creatorType": "author", "firstName": "A.", "lastName": "Bresó" }, { "creatorType": "author", "firstName": "J. M.", "lastName": "García-Gómez" }, { "creatorType": "editor", "firstName": "J. M.", "lastName": "García-Gómez" }, { "creatorType": "editor", "firstName": "P", "lastName": "Paniagua-Paniagua" } ], "abstractNote": "Help4Mood is a European research co-funded project aimed to support the remote treatment of people with major depression. One of the main components of the system is the Virtual Agent (VA) which acts as the main interface between the patient and the system. This paper describes the implementation of the cognitive-emotional (CE) module, the mechanism that produces appropriate emotional responses in the VA during the interactions with the user. In particular, we present the theoretical foundations of this mechanism which is based in the cognitive appraisal theory of emotions. The initial implementation of the CE module has been developed by adapting the FAtiMA (FearNot Affective Mind Architecture) computational architecture of emotions created to generate empathic responses in virtual characters. We also discuss the extension of this architecture to model and generate therapeutic empathic responses in the VA directed to enhance and facilitate the interaction of the system with this particular kind of users.", "bookTitle": "Information and Communication Technologies applied to Mental Health", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "First Edit", "date": "2012", "publisher": "", "place": "Valencia", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "pages": "34–39", "ISBN": "978-84-8363-942-9", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "00000", "tags": [ { "tag": "Help4Mood" }, { "tag": "VA for Psychotherapy" }, { "tag": "Virtual agents" } ], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-05-19T09:48:58Z", "dateModified": "2014-05-20T11:56:00Z" } }, { "key": "QAJEWWR4", "version": 64, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/QAJEWWR4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/QAJEWWR4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1934378, "username": "juanMtz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmtz", "type": "text/html" } } }, "lastModifiedByUser": { "id": 624875, "username": "juanmig", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmig", "type": "text/html" } } }, "creatorSummary": "Bresó et al.", "parsedDate": "2013", "numChildren": 0 }, "data": { "key": "QAJEWWR4", "version": 64, "itemType": "conferencePaper", "title": "Creation of Creative Work Teams using Multi-Agent based Social Simulation", "creators": [ { "creatorType": "author", "firstName": "A.", "lastName": "Bresó" }, { "creatorType": "author", "firstName": "A.", "lastName": "Pérez" }, { "creatorType": "author", "firstName": "J.", "lastName": "Juan-Albarracín" }, { "creatorType": "author", "firstName": "J.", "lastName": "Martínez-Miranda" }, { "creatorType": "author", "firstName": "M.", "lastName": "Robles" }, { "creatorType": "author", "firstName": "J. M.", "lastName": "García-Gómez" }, { "creatorType": "editor", "firstName": "J.", "lastName": "Filipe" }, { "creatorType": "editor", "firstName": "A.", "lastName": "Fred" } ], "abstractNote": "Over the past decades, advances in Artificial Intelligence (AI) techniques have investigated the modelling of complex systems. In particular, the use of Multi-Agent Systems (MAS) opened new possibilities for studying different domains using social simulation. In the present work we have implemented and empirically evaluated a Multi-Agent Based Social Simulation (MABSS) system to support the formation of creative work teams. Based on existent psychological and organizational creativity studies, we have modelled a set of personal characteristics and contextual factors to represent and analyse their influence on creativity at both: the individual and the group level. The obtained initial results were significantly better than the results obtained with a pure stochastic model (average improvement of 8.2%). Additionally, we empirically confirm some hypothesis about group formation from the organizational studies.", "proceedingsTitle": "5th. International Conference on Agents and Artificial Intelligence", "conferenceName": "", "publisher": "SCITEPRESS – Science and Technology Publications", "place": "Barcelona", "date": "2013", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "211–218", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "00000", "tags": [ { "tag": "Agent-Based Modelling and Simulation" }, { "tag": "Agent-Based Simulations" }, { "tag": "Modelling Creativity" }, { "tag": "Multi Agent Systems" }, { "tag": "Multi-agent systems" } ], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-05-19T09:51:44Z", "dateModified": "2014-05-20T11:55:59Z" } }, { "key": "NZ2HESED", "version": 64, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/NZ2HESED", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/NZ2HESED", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1934378, "username": "juanMtz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmtz", "type": "text/html" } } }, "lastModifiedByUser": { "id": 624875, "username": "juanmig", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmig", "type": "text/html" } } }, "creatorSummary": "Martínez-Miranda et al.", "parsedDate": "2012", "numChildren": 0 }, "data": { "key": "NZ2HESED", "version": 64, "itemType": "conferencePaper", "title": "Modelling Therapeutic Empathy in a Virtual Agent to Support the Remote Treatment of Major Depression", "creators": [ { "creatorType": "author", "firstName": "J.", "lastName": "Martínez-Miranda" }, { "creatorType": "author", "firstName": "A.", "lastName": "Bresó" }, { "creatorType": "author", "firstName": "Juan M", "lastName": "García-Gomez" }, { "creatorType": "editor", "firstName": "J.", "lastName": "Filipe" }, { "creatorType": "editor", "firstName": "A.", "lastName": "Fred" } ], "abstractNote": "The use of computer based psychotherapy has been one of the fields that have attracted the interest of practitioners and computer scientists in the last years given the initial and promising results. In particular the use of computerised cognitive behavioural therapy for the treatment of major depression has been supported the evidence that psychological therapies can be delivered effectively without face to face contact. However, the value of these tools for patients is limited by the difficulty of staying engaged during the longtime periods of the treatment. The use of Virtual Agents as enhanced human-computer interaction brings the opportunity to overcome this limitation by establishing effective long-term social relationships with patients. We introduce the main ideas behind the design of a cognitive-emotional model aimed to generate therapeutic empathic responses and support the remote treatment of major depression.", "proceedingsTitle": "Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2", "conferenceName": "", "publisher": "SciTePress", "place": "Vilamoura, Algarve", "date": "2012", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "264 – 269", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "00000", "tags": [ { "tag": "Help4Mood" }, { "tag": "Modelling Emotions" }, { "tag": "Therapeutic empathy" }, { "tag": "VA for Health" }, { "tag": "Virtual agents" } ], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-05-19T09:51:44Z", "dateModified": "2014-05-20T11:55:58Z" } }, { "key": "N6UVS4FN", "version": 64, "library": { "type": "group", "id": 186336, "name": "IBIME", "links": { "alternate": { "href": "https://www.zotero.org/groups/ibime", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/186336/items/N6UVS4FN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/ibime/items/N6UVS4FN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1934378, "username": "juanMtz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmtz", "type": "text/html" } } }, "lastModifiedByUser": { "id": 624875, "username": "juanmig", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/juanmig", "type": "text/html" } } }, "creatorSummary": "Wolters et al.", "parsedDate": "2012", "numChildren": 0 }, "data": { "key": "N6UVS4FN", "version": 64, "itemType": "conferencePaper", "title": "Managing Data in Help4Mood", "creators": [ { "creatorType": "author", "firstName": "M. K.", "lastName": "Wolters" }, { "creatorType": "author", "firstName": "J.", "lastName": "Martínez-Miranda" }, { "creatorType": "author", "firstName": "H. F.", "lastName": "Hastie" }, { "creatorType": "author", "firstName": "C.", "lastName": "Matheson" } ], "abstractNote": "Help4Mood is a system that supports the treatment of people with major depression through collecting a wealth of cognitive, psychomotor, and motor data, which can then be summarised and analysed further. Data is stored in functional units that correspond to treatment relevant entities using a custom XML DTD. As far as possible, observations and findings are coded using SNOMED CT to ensure interoperability with other applications such as Electronic Health Records.", "proceedingsTitle": "2nd International Workshop on Computing Paradigms for Mental Health - MindCare 2012", "conferenceName": "", "publisher": "", "place": "Vilamoura, Algarve", "date": "2012", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "17–24", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "00003", "tags": [ { "tag": "Help4Mood" }, { "tag": "SNOMED-CT" }, { "tag": "data management" }, { "tag": "interoperability" }, { "tag": "major depression" } ], "collections": [ "GWFKICT9" ], "relations": {}, "dateAdded": "2014-05-19T09:51:44Z", "dateModified": "2014-05-20T11:55:57Z" } } ]