Published on in Vol 6, No 12 (2018): December
![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](https://asset.jmir.pub/assets/b653671e85ac063e7a45c44bd60b6cd7.png 480w,https://asset.jmir.pub/assets/b653671e85ac063e7a45c44bd60b6cd7.png 960w,https://asset.jmir.pub/assets/b653671e85ac063e7a45c44bd60b6cd7.png 1920w,https://asset.jmir.pub/assets/b653671e85ac063e7a45c44bd60b6cd7.png 2500w)
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 Universidad Carlos III de Madrid, Leganés, Spain
6 Gregorio Marañón Health Research Institute, Madrid, 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