ETUDE RECHERCHE Combiner les méthodes de santé mobile (mHealth) et d'intelligence artificielle (AI) pour éviter les tentatives de suicide: le protocole d'étude Smartcrises

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol

Sofian Berrouiguet ^{1, 2, 3} Maria Luisa Barrigón ^{4, 5, 6} Jorge López Castroman ^{4, 6, 7} Philippe Courtet ^{4, 6} Antonio Artés-Rodríguez ⁸ Enrique Baca-Garcia ⁹

1 IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information

2 CHU - Brest- Psychiatrie - CHRU Brest - Psychiatrie Adulte

3 SPURBO - Soins Primaires, Santé Publique, Registre des cancers de Bretagne Occidentale

4 CHRU Montpellier - Centre Hospitalier Régional Universitaire [Montpellier]

5 Hospital General Universitario "Gregorio Marañón" [Madrid]

6 Neuropsychiatrie : recherche épidémiologique et clinique

7 CHU Nîmes - Centre Hospitalier Universitaire de Nîmes

8 Fundación Jiménez Díaz, Universidad Autónoma de Madrid

9 Department of Psychiatry (Hospital Universitario Fundacion Jimenez Diaz )

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 continuously learning from data to build understanding. We designed a system able to get clinical sense from digital footprints based on the smartphone's native sensors and advanced machine learning and signal processing techniques in order to identify suicide risk. METHOD/DESIGN: The Smartcrisis study is a cross-national comparative study. The study goal is to determine the relationship between suicide risk and changes in sleep quality and disturbed appetite. Outpatients from the Hospital Fundación Jiménez Díaz Psychiatry Department (Madrid, Spain) and the University Hospital of Nimes (France) will be proposed to participate to the study. Two smartphone applications and a wearable armband will be used to capture the data. In the intervention group, a smartphone application (MEmind) will allow for the ecological momentary assessment (EMA) data capture related with sleep, appetite and suicide ideations. DISCUSSION: Some concerns regarding data security might be raised. Our system complies with the highest level of security regarding patients' data. Several important ethical considerations related to EMA method must also be considered. EMA methods entails a non-negligible time commitment on behalf of the participants. EMA rely on daily, or sometimes more frequent, Smartphone notifications. Furthermore, recording participants' daily experiences in a continuous manner is an integral part of EMA. This approach may be significantly more than asking a participant to complete a retrospective questionnaire but also more accurate in terms of symptoms monitoring. Overall, we believe that Smartcrises could participate to a paradigm shift from the traditional identification of risks factors to personalized prevention strategies tailored to characteristics for each patient.

Informatique [cs] / Intelligence artificielle [cs.AI]
Sciences cognitives
Sciences du Vivant [q-bio] / Médecine humaine et pathologie / Psychiatrie et santé mentale
https://hal.umontpellier.fr/hal-02561989
Soumis le : vendredi 5 juin 2020 - 14:31:00
Fichier s12888-019-2260-y.pdf

Source https://hal.umontpellier.fr/hal-02561989/document