Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Feb 2, 2022
Date Accepted: Jun 7, 2022
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Use of social media data to diagnose and monitor schizophrenia: systematic review and perspectives
ABSTRACT
Background:
Schizophrenia is a disease associated with a high burden. Improvement in care is necessary.
Objective:
The objective of our study is to analyse the current capabilities of artificial intelligence (AI) to use social media data as a diagnostic tool for schizophrenia.
Methods:
A systematic review of the literature was conducted on several databases, using relevant keywords.
Results:
93 studies were identified, among which 7 studies were included. The included studies have shown encouraging results. Social media data could be used in several ways in care of patients with schizophrenia, including the monitoring of patients after a first episode of psychosis. Several studies had major limitations. The studies were heterogeneous in quality and in their objective. Most studies did not have access to health data for the training of the algorithm. We tried to identify several limitations in the methodology of the included studies. We made recommendation for future studies.
Conclusions:
AI could be used to analyse social media data in order to bring new tools in the care of patients with schizophrenia.
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