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

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

Books/Policy Documents

  1. Mittal S, Chandel A, Nguyen P. Improving Entrepreneurial Processes Through Advanced AI. View