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

Diagnostic Tools in Mental Health (222) Machine Learning (1388) Substance Abuse (382) Anxiety and Stress Disorders (1006) Posttraumatic Stress Disorder (PTSD) (107) Panic Disorder (18) Depression and Mood Disorders; Suicide Prevention (1283) New Methods (909)

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 Post-Traumatic Stress in General and Clinical Populations: A Systematic Review. Biological Psychiatry 2024 View