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, France

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

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

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

5 Gregorio Marañón Health Research Institute, Madrid, Spain

6 Universidad Carlos III de Madrid, Leganés, Spain

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

8 Department of Psychiatry, Autónoma University, Madrid, Spain

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

Corresponding Author: