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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