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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Depression and Mood Disorders; Suicide Prevention (1691) Machine Learning (2076) Methods and New Tools in Mental Health Research (558) Natural Language Processing (917) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infodemiology and Infoveillance (1558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26119, first published .
Distant Supervision for Mental Health Management in Social Media: Suicide Risk Classification System Development Study

Distant Supervision for Mental Health Management in Social Media: Suicide Risk Classification System Development Study

Distant Supervision for Mental Health Management in Social Media: Suicide Risk Classification System Development Study

Authors of this article:

Guanghui Fu1 Author Orcid Image ;   Changwei Song1 Author Orcid Image ;   Jianqiang Li1 Author Orcid Image ;   Yue Ma2 Author Orcid Image ;   Pan Chen3 Author Orcid Image ;   Ruiqian Wang1 Author Orcid Image ;   Bing Xiang Yang3 Author Orcid Image ;   Zhisheng Huang4 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Vayadande K, Bodhankar A, Mahajan A, Prasad D, Mahajan S, Pujari A, Dhakalkar R, Sengodan T. Classification of Depression on social media using Distant Supervision. ITM Web of Conferences 2022;50:01005 View
  2. Gatto J, Seegmiller P, Johnston G, Preum S. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution. JMIR Medical Informatics 2022;10(9):e37770 View
  3. Giancola N, Bentley K, Torous J. Social Media and Suicidal Behavior in Youth: Slippery Slope or Simply Overstressed?. Current Treatment Options in Psychiatry 2024;11(3):141 View
  4. Atmakuru A, Shahini A, Chakraborty S, Seoni S, Salvi M, Hafeez-Baig A, Rashid S, Tan R, Barua P, Molinari F, Acharya U. Artificial intelligence-based suicide prevention and prediction: A systematic review (2019–2023). Information Fusion 2025;114:102673 View
  5. Li J, Wong J, Au D, Chen Y, Lao Y, Zhang M. The impact of social media reports on nurses' job satisfaction: A cross-sectional survey. Computers in Human Behavior Reports 2024;16:100529 View
  6. Qi H, Fu G, Li J, Song C, Zhai W, Luo D, Liu S, Yu Y, Yang B, Zhao Q. Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media. Bioengineering 2025;12(8):882 View
  7. Tian X, Liu Y, Li Zhang K, Litt S, Shin K, Jiang T. Do Artificial Intelligence Clients Speak Like Human Clients? Exploring GPT‐4's Content‐Level Performance in Counseling Role‐Play. Journal of Counseling & Development 2025 View

Books/Policy Documents

  1. Guo L, Xia L, Huang X, Fu Y, Li X, Zhou S, Zhao C, Yang B. Health Information Science. View

Conference Proceedings

  1. Zhang T, Liu G. 2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT). RDRS: Represent Document-level Relation with Sentence-level Relation by Distant Supervision View