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

Diagnostic Tools in Mental Health (224) Machine Learning (1401) Substance Abuse (383) Anxiety and Stress Disorders (1013) Posttraumatic Stress Disorder (PTSD) (107) Panic Disorder (18) Depression and Mood Disorders; Suicide Prevention (1290) New Methods (911)

Published on in Vol 9, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21111, first published .
Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation

Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation

Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation

Authors of this article:

Sytske Wiegersma1 Author Orcid Image ;   Maurice Hidajat2 Author Orcid Image ;   Bart Schrieken2 Author Orcid Image ;   Bernard Veldkamp1 Author Orcid Image ;   Miranda Olff3, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Ciharova M, Amarti K, van Breda W, Peng X, Lorente-Català R, Funk B, Hoogendoorn M, Koutsouleris N, Fusar-Poli P, Karyotaki E, Cuijpers P, Riper H. Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review. Biological Psychiatry 2024 View