C. Soguero-Ruíz, K. Hindberg, J. Rojo-álvarez, S. Skrøvseth, F. Godtliebsen, K. Mortensen, A. Revhaug, R. Lindsetmo, I. Mora-Jiménez, K. Augestad, R. Jenssen
{"title":"Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage","authors":"C. Soguero-Ruíz, K. Hindberg, J. Rojo-álvarez, S. Skrøvseth, F. Godtliebsen, K. Mortensen, A. Revhaug, R. Lindsetmo, I. Mora-Jiménez, K. Augestad, R. Jenssen","doi":"10.1109/BHI.2014.6864430","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864430","url":null,"abstract":"We propose a Bootstrap resampling approach for Feature Selection (FS) using the weights obtained by a linear Support Vector Machine (SVM) when it is applied to high-dimensional input spaces. We build our approach on a practical application with an extremely high-dimensional input space. The application is the detection of Anastomosis Leakage (AL) after colorectal cancer surgery using free text Bag-of-Words in Electronic Health Records (EHRs). Colorectal cancer is the third most common cancer type, and surgery is the only curative treatment, making the detection of AL of prime importance. The reduced input space obtained by the proposed FS strategy in combination with the linear SVM provided a much improved performance for early detection AL after colorectal cancer (earlier/final sensitivity 97%/100% and specificity 47%/89%). Further extensions of the method can be the basis for a principled FS strategy in high-dimensional input spaces.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Valdivieso, R. Faubel, Javier Gonzalez-Cappa, Pablo Borras-Justus, David Domínguez
{"title":"Development and evaluation of an Innovative Chronic Disease Management Program in Valencia-La Fe Health Department","authors":"B. Valdivieso, R. Faubel, Javier Gonzalez-Cappa, Pablo Borras-Justus, David Domínguez","doi":"10.1109/BHI.2014.6864386","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864386","url":null,"abstract":"Valencia La Fe-Health Department, aligned with the Regional Ministry of Health, is pushing an Innovative Chronic Diseases Management Program, by introducing a new, proactive, care model based on current policies, best practices and evidence available aiming to a greater control of the patients while they are at homes. The program has been developed working on the seven courses of action, covering all the components required according to experts. This includes a) identification and stratification of the population, b) care processes design in coordination with all health care resources involved according to case management methodology, c) guidelines and protocols documentation and design of educational programs, d) Service portfolio development and care planning and coordination across care level e) promotion of new technologies, f) continuous assessment and improvement of quality of care g) alignment of resources and incentives in the Health Department. The predictive model developed identifies 3.28% of the total population, related to 72% annual consumption of unplanned weighted resources in our reference population. Chronic management program was evaluated through both a quasi-experimental study including 1900 patients enrolled in the case management program and a randomized clinical trial (RCT) including 495 patients on 3 branches (standard practice, phone supported intervention and technology based intervention). RCT preliminary results regarding health-related quality of life and other outcomes variables will be available during the first quarter of 2014.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Barelle, E. Courtial, E. Vellidou, H. Tsirbas, T. Tagaris, F. Ibáñez, Emilio J. Sánchez, D. Koutsouris
{"title":"Tele-monitoring and diagnostic for fall prevention: The KINOPTIM concept","authors":"C. Barelle, E. Courtial, E. Vellidou, H. Tsirbas, T. Tagaris, F. Ibáñez, Emilio J. Sánchez, D. Koutsouris","doi":"10.1109/BHI.2014.6864373","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864373","url":null,"abstract":"Falls among the elderly is a major public health problem due to its causality for increased dependency. It can be tackled thanks to innovative Information and Communication Technologies (ICT) along with new forms of service delivery organization such as home care. In the context of a Marie Curie project we have proposed the KINOPTIM concept, a comprehensive fall prevention and holistic management service. This paper provides a review of this innovative concept starting with a brief introduction and the rationale behind its development, the description of the platform and service to be eventually piloted and closing with conclusions and perspectives section since it is still in an ongoing research phase.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"68 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132571474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Saaranen, Jakub Parák, H. Honko, T. Aaltonen, I. Korhonen
{"title":"W2E — Wellness Warehouse Engine for semantic interoperability of consumer health data","authors":"M. Saaranen, Jakub Parák, H. Honko, T. Aaltonen, I. Korhonen","doi":"10.1109/BHI.2014.6864375","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864375","url":null,"abstract":"Novel health monitoring devices and applications allow consumers easy and ubiquitous ways to monitor their health status. However, technologies from different providers lack both technical and semantic interoperability and hence the resulting health data is often deeply tied to specific service, which is limiting its re-usability and utilization in different services. We have designed a Wellness Warehouse Engine (W2E) that bridges this gap and enables seamless exchange of data between different services. W2E provides interfaces to various data sources and makes data available via unified REST API to other services. Importantly, it includes Unifier - an engine that allows transforming input data into generic units reusable by other services, and Analyzer - an engine that allows advanced analysis of input data, such as combining different data sources into new output parameters. In this paper, we describe the architecture of W2E and demonstrate its applicability by using it for uniting data from several consumer activity trackers. Finally, we discuss challenges of building Unifier and Analyzer engines for ever-enlarging number of new devices.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131381733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Auzias, M. Viellard, S. Takerkart, N. Villeneuve, F. Poinso, D. Fonseca, N. Girard, C. Deruelle
{"title":"Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry","authors":"G. Auzias, M. Viellard, S. Takerkart, N. Villeneuve, F. Poinso, D. Fonseca, N. Girard, C. Deruelle","doi":"10.1109/BHI.2014.6864302","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864302","url":null,"abstract":"Autism Spectrum Disorder is associated with an altered early brain development. However, the specific cortical structure abnormalities underlying this disorder remain largely unknown. Here, we designed a multi-modal segmentation pipeline adapted to anatomical MR images acquired in a clinical setting in order to apply state-of-the-art sulcus-based morphometry methods to a large cohort of 73 young children. We computed multiple descriptors of the geometry of each sulcus, hereby separating the folding measurement into distinct factors such as the length and depth of the sulcus. We demonstrated that several sulci showed a significant and consistent pattern of abnormalities across our different geometrical features. These structural abnormalities are confined to regions that are functionally relevant with respect to cognitive disorders in ASD, and might thus represent a set of complementary anatomical markers of this pathology.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"976 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arturo González-Ferrer, M. Peleg, Enea Parimbelli, Erez Shalom, Carlos Marcos Lagunar, G. Klebanov, I. Martínez-Sarriegui, N. L. S. Fung, T. Broens
{"title":"Use of the virtual medical record data model for communication among components of a distributed decision-support system","authors":"Arturo González-Ferrer, M. Peleg, Enea Parimbelli, Erez Shalom, Carlos Marcos Lagunar, G. Klebanov, I. Martínez-Sarriegui, N. L. S. Fung, T. Broens","doi":"10.1109/BHI.2014.6864418","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864418","url":null,"abstract":"MobiGuide is a distributed decision-support system (DSS) that provides decision support for patients and physicians. Patients receive support using a light-weight Smartphone DSS linked to data arriving from wearable monitoring devices and physicians receive support via a web interface connected to a backend DSS that has access to an integrated personal health record (PHR) that stores hospital EMR data, monitoring data, and recommendations provided for the patient by the DSSs. The patient data model used by the PHR and by all the system components that interact in a service-oriented architecture is based on HL7's virtual medical record (vMR) model. We describe how we used and extended the vMR model to support communication between the system components for the complex workflow needed to support guidance of patients any time everywhere.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127353750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Óscar Jesús Rubio Martí, Álvaro Alesanco Iglesias, José García
{"title":"Secure and efficient coding of biomedical signals, periodic measurements and contextual data in body area networks","authors":"Óscar Jesús Rubio Martí, Álvaro Alesanco Iglesias, José García","doi":"10.1109/BHI.2014.6864346","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864346","url":null,"abstract":"This paper proposes a cryptosteganographic coding for signals (e.g. ECGs), periodic measurements (e.g. oxygen in blood, body temperature) and contextual data (e.g. allergies, medication of the user) gathered in body area networks. This information is acquired by a device with multiple interfaces and sensors connected to it. The acquiring device compresses the signals with the SPIHT coder; protects the measurements and the data; and embeds them within the signals in the compressed domain. Next, it performs partial encryption on the signals. Finally, the resulting encoded information is forwarded to one or several devices for its visualization. The access to the signals, the measurements and the data is limited according to the professional role of the consulting user. Tested with ECG stress tests, this coding compresses the transmission bandwidth/storage space typ. by 2.8-7.8, and its architecture operates in real-time with overall delays of 2-2.7s. Finally, this coding is also suitable for networks acquiring other signals, such as EEG or PPG.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126925380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Andersen, H. Ulrich, Ann-Kristin Kock, Jan-Hinrich Wrage, J. Ingenerf
{"title":"Semantic interoperability in the OR.NET project on networking of medical devices and information systems — A requirements analysis","authors":"B. Andersen, H. Ulrich, Ann-Kristin Kock, Jan-Hinrich Wrage, J. Ingenerf","doi":"10.1109/BHI.2014.6864394","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864394","url":null,"abstract":"OR.NET is the German national flagship project on networking of medical devices and information systems. Its objective is to define, implement and validate a standard-based integration solution for safe and dynamic networking of devices and systems in the operating room and its clinical surroundings. An important part of this project is to ensure semantic interoperability. Besides standardized inter-device communication, this task needs an engine for semantic mediation between heterogeneous communication partners. This work analyses the requirements that need to be satisfied by such an engine. It will have to transform messages between different forms of standardized representation in the operational environment of an open communication framework. Especially the information exchange between devices and information systems will be dependent on the engine's reliable and verifiable semantic mediation. Being deployed on an embedded device in a service-oriented architecture based on web services, the component will have to comply not only with international healthcare standards and medical device directives but also with W3C specifications to provide and describe its capabilities. In the future, the semantic interoperability engine could be extended to a general ontology-based framework, further promoting and supporting device integration based on standards in the surgery domain.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115085878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Safont, A. Salazar, L. Vergara, Enriqueta Gomez, Vicente Villanueva
{"title":"Mixtures of independent component analyzers for microarousal detection","authors":"G. Safont, A. Salazar, L. Vergara, Enriqueta Gomez, Vicente Villanueva","doi":"10.1109/BHI.2014.6864473","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864473","url":null,"abstract":"This paper presents a study of the application of new variants of the Sequential Independent Analysis Mixture Models (SICAMM) to the modeling and classification of electroencephalographic (EEG) signals. The real application approached was the detection of microarousals in EEG signals from sleep apnea patients. In addition, the proposed methods were tested on synthetic data with probability density changing in time in order to imitate the intrinsic nonlinearity and nonstationarity of the EEG signals. Thus, sequential dependence and sensitivity analyses with controlled simulated data are included. The SICAMM-based methods were compared with Dynamic Bayesian Networks (DBN) implementing Gaussian mixture models and static versions of the methods. We demonstrate that the proposed methods obtain the best performance in microarousal detection and their parameters adapt better for EEG signal dynamic modeling.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Fernández-Llatas, L. Sacchi, J. Benedí, A. Dagliati, V. Traver, R. Bellazzi
{"title":"Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series","authors":"C. Fernández-Llatas, L. Sacchi, J. Benedí, A. Dagliati, V. Traver, R. Bellazzi","doi":"10.1109/BHI.2014.6864481","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864481","url":null,"abstract":"The design of clinical protocols for improving the quality of care in an efficient way is one of the challenges for the deployment of Evidence Based Medicine. The design of those protocols is a difficult task that require the consensus of care process experts. The use of Pattern Recognition approaches, like Process Mining, allows the automatic inference of processes that can help experts for formalizing these clinical protocols based on the actually deployed care process. However, the step rules among the different stages of the care protocols are based on high level descriptions of numerical clinical data gathered from the patient that can not be processed directly by Process Mining approaches. In this paper, a combination of Interactive Pattern Recognition with Temporal Abstraction technologies that allows processing of clinical data to allow the enrichment of Activity Based Process Mining corpus is presented.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115602410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}