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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3421) Peer-to-Peer Support and Online Communities (1028) Natural Language Processing (1363) Information Seeking, Information Needs (672)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74359, first published .
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Predictors of Professional Responses in Nonprofit Mental Health Forums: Interpretable Machine Learning Analysis

Predictors of Professional Responses in Nonprofit Mental Health Forums: Interpretable Machine Learning Analysis

Authors of this article:

Shuang Geng1 Author Orcid Image ;   Yanghui Li2 Author Orcid Image ;   Jie Wang2 Author Orcid Image ;   Peixuan Chen3 Author Orcid Image ;   Xusheng Wu4 Author Orcid Image ;   Zhiqun Zhang5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Ma D, Cheng Y, Tan H. Breaking the silence in OMHCs: the impact of initial peer support on subsequent peer support provision. Industrial Management & Data Systems 2026:1 View
  2. Liu B, Fu Y, Ma Y. Prediction of pathological complete response to neoadjuvant chemo-immunotherapy in locally advanced lung adenocarcinoma: a multimodal machine learning approach. Scientific Reports 2026;16(1) View