This paper is in the following e-collection/theme issue:

Digital Health Reviews (1253) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1488) Infodemiology and Infoveillance (1333) Psychotic Disorders (160) Artificial Intelligence (1327)

Published on in Vol 24, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36986, first published .
Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review

Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review

Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review

Authors of this article:

Alban Lejeune1 Author Orcid Image ;   Benoit-Marie Robaglia2 Author Orcid Image ;   Michel Walter1, 3 Author Orcid Image ;   Sofian Berrouiguet1, 4 Author Orcid Image ;   Christophe Lemey1, 3, 5 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

Journals

  1. He Y, Matsunaga M, Li Y, Kishi T, Tanihara S, Iwata N, Tabuchi T, Ota A. Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study. JMIR Formative Research 2023;7:e50193 View
  2. Li I, Estafanous A, De Choudhury M, Alvarez-Jimenez M, Birnbaum M. Social Media and Early Psychosis Intervention: A Comprehensive Review of the Literature. Current Treatment Options in Psychiatry 2024;11(2):52 View
  3. Wang T, Zhang K, Liu Z, Ma T, Luo R, Chen H, Wang X, Ge W, Sun H. Prediction and explanation of debris flow velocity based on multi-strategy fusion Stacking ensemble learning model. Journal of Hydrology 2024;638:131347 View
  4. Plank L, Zlomuzica A. Reduced speech coherence in psychosis-related social media forum posts. Schizophrenia 2024;10(1) View
  5. Deneault A, Dumais A, Désilets M, Hudon A. Natural Language Processing and Schizophrenia: A Scoping Review of Uses and Challenges. Journal of Personalized Medicine 2024;14(7):744 View
  6. Merayo N, Ayuso-Lanchares A, González-Sanguino C. Machine learning and natural language processing to assess the emotional impact of influencers’ mental health content on Instagram. PeerJ Computer Science 2024;10:e2251 View