Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol
Abstract Background The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies to collect data and extract relevant information’s for patient management. Artificial intelligence (AI) techniques allow processing of real-time observational information and...
Main Authors: | Sofian Berrouiguet, María Luisa Barrigón, Jorge Lopez Castroman, Philippe Courtet, Antonio Artés-Rodríguez, Enrique Baca-García |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-09-01
|
Series: | BMC Psychiatry |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12888-019-2260-y |
Similar Items
-
Editorial: Suicide and Related Behaviour
by: Gonzalo Martínez-Alés, et al.
Published: (2021-04-01) -
Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study
by: Aurora Cobo, et al.
Published: (2021-05-01) -
The cost of illness and burden of suicide and suicide attempts in France
by: Laeticia Blampain Segar, et al.
Published: (2024-03-01) -
Development of a Smartphone-Based mHealth Platform for Telerehabilitation
by: Wei-Ting Martin Lin, et al.
Published: (2022-01-01) -
Validation of the Spanish version of the Death/Suicide Implicit Association Test for the assessment of suicidal behavior
by: Manon Moreno, et al.
Published: (2020-12-01)