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
Authors of this article:
Sofian
Berrouiguet
1, 2, 3, 4
;
David
Ramírez
5, 6
;
María Luisa
Barrigón
7, 8
;
Pablo
Moreno-Muñoz
5, 6
;
Rodrigo
Carmona Camacho
7
;
Enrique
Baca-García
7, 8, 9
;
Antonio
Artés-Rodríguez
5, 6, 9
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