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MAVIE-Lab Sports: a mHealth for Injury Prevention and Risk Management in Sport

dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorROJAS CASTRO, Madelyn
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTRAVANCA, Marina
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorAVALOS FERNANDEZ, Marta
dc.contributor.authorCONESA, David Valentin
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorORRIOLS, Ludivine
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorLAGARDE, Emmanuel
dc.date.accessioned2021-04-30T12:24:46Z
dc.date.available2021-04-30T12:24:46Z
dc.date.issued2018
dc.date.conference2018-04-23
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/27147
dc.description.abstractEnSmart-phones technology and the development of mHealth (Mobile Health) applications offer an opportunity to design intervention tools to influence health behavior changes. The MAVIE-Lab is a mHealth application including a DSS (Desicion Support System) to assist in the personalized evaluation of HLIs (Home, Leisure and Sport Injuries) risk and to promote the adoption of prevention measures. MAVIE-Lab Sports will be the first module of the mobile application. The purpose of this PhD project is to improve a particular module of MAVIE-Lab, devoted to sports (MAVIE-Lab Sports), in different aspects: statistical modeling, design and ergonomics. It also aims to evaluate system usability, acceptability, safety and efficacy. The development structure proposed and executed in this thesis will be replicated for the development of future modules for different types of HLIs. This document develops the argument, objectives and advances in the development of the MAVIE-Lab Sports and the future work.
dc.language.isoENen_US
dc.subject.enInjury Epidemiology
dc.subject.eneHealth
dc.subject.enApp
dc.subject.enPersonal digital assistants
dc.subject.enBayesian networks BN
dc.subject.enPrediction
dc.subject.enHome and leisure injuries
dc.subject.enMathematics of computing
dc.subject.enHuman-centered computing
dc.title.enMAVIE-Lab Sports: a mHealth for Injury Prevention and Risk Management in Sport
dc.typeCommunication dans un congrès avec actesen_US
dc.subject.halStatistiques [stat]/Machine Learning [stat.ML]en_US
dc.subject.halStatistiques [stat]/Méthodologie [stat.ME]en_US
dc.subject.halStatistiques [stat]/Applications [stat.AP]en_US
dc.subject.halInformatique [cs]/Apprentissage [cs.LG]en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.conference.titleDIGITAL HEALTH 2018 - 8th International Digital Health Conferenceen_US
bordeaux.countryfren_US
bordeaux.title.proceedingDIGITAL HEALTH 2018 - 8th International Digital Health Conferenceen_US
bordeaux.teamSISTM_BPH
bordeaux.conference.cityLyonen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-01782964
hal.version1
hal.exportfalse
workflow.import.sourcehal
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2018&rft.au=ROJAS%20CASTRO,%20Madelyn&TRAVANCA,%20Marina&AVALOS%20FERNANDEZ,%20Marta&CONESA,%20David%20Valentin&ORRIOLS,%20Ludivine&rft.genre=proceeding


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