Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study.

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第一作者： Sofian,Berrouiguet

第一单位： Department of Psychiatry and Emergency, Brest Medical University Hospital, Brest, France.

作者： Sofian,Berrouiguet ^[1] ; David,Ramírez ^[2] ; María Luisa,Barrigón ^[3] ; Pablo,Moreno-Muñoz ^[4] ; Rodrigo,Carmona Camacho ^[5] ; Enrique,Baca-García ^[6] ; Antonio,Artés-Rodríguez ^[7]

作者单位： Department of Psychiatry and Emergency, Brest Medical University Hospital, Brest, France. ^[1] IMT Atlantique, Lab-STICC, F-29238, Brest, France. ^[2] SPURBO EA 7479, Université de Bretagne Occidentale (UBO), Brest, France. ^[3] CHRU Cavale Blanche University Hospital of Brest, Brest, France. ^[4] Universidad Carlos III de Madrid, Leganés, Spain. ^[5] Gregorio Marañón Health Research Institute, Madrid, Spain. ^[6] Department of Psychiatry, Fundación Jiménez Díaz Hospital, Madrid, Spain. ^[7] Department of Psychiatry, Autónoma University, Madrid, Spain. ^[8] Centro de Investigación en Salud Mental, Carlos III Institute of Health, Madrid, Spain. ^[9]

关键词 behavioral changes data mining mental disorders sensors wearables

DOI 10.2196/mhealth.9472

PMID 30530465

发布时间 2020-02-25

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JMIR mHealth and uHealth

2018年6卷12期

e197页

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Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study.

JMIR mHealth and uHealth

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JMIR mHealth and uHealth

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Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study.

JMIR mHealth and uHealth

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JMIR mHealth and uHealth

相关期刊

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