Published on in Vol 6 , No 12 (2018) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9472, first published .
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

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

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

Sofian Berrouiguet 1, 2, 3, 4 , MD ;   David Ramírez 5, 6 , PhD ;   María Luisa Barrigón 7, 8 , MD, PhD ;   Pablo Moreno-Muñoz 5, 6 , MSc ;   Rodrigo Carmona Camacho 7 , MD ;   Enrique Baca-García 7, 8, 9 , MD, PhD ;   Antonio Artés-Rodríguez 5, 6, 9 , PhD

1 Department of Psychiatry and Emergency , Brest Medical University Hospital , Brest , FR

2 IMT Atlantique , Lab-STICC , F-29238 , Brest , FR

3 SPURBO EA 7479 , Université de Bretagne Occidentale (UBO) , Brest , FR

4 CHRU Cavale Blanche University Hospital of Brest , Brest , FR

5 Gregorio Marañón Health Research Institute , Madrid , ES

6 Universidad Carlos III de Madrid , Leganés , ES

7 Department of Psychiatry , Fundación Jiménez Díaz Hospital , Madrid , ES

8 Department of Psychiatry , Autónoma University , Madrid , ES

9 Centro de Investigación en Salud Mental , Carlos III Institute of Health , Madrid , ES

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