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

Diagnostic Tools in Mental Health (224) Machine Learning (1400) 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

Sytske Wiegersma   1 , MSc ;   Maurice Hidajat   2 , BSc ;   Bart Schrieken   2 , MSc ;   Bernard Veldkamp   1 , Prof Dr ;   Miranda Olff   3, 4 , Prof Dr

1 Department of Research Methodology, Measurement and Data Analysis, University of Twente, Enschede, Netherlands

2 Interapy PLC, Amsterdam, Netherlands

3 Department of Psychiatry, Amsterdam University Medical Centres, location Academic Medical Centre, Amsterdam, Netherlands

4 ARQ National Psychotrauma Centre, Diemen, Netherlands

Corresponding Author:

  • Sytske Wiegersma, MSc
  • Department of Research Methodology, Measurement and Data Analysis
  • University of Twente
  • PO Box 217
  • Enschede, 7500 AE
  • Netherlands
  • Phone: 31 53 489 3349
  • Email: sytske@wiegersma.nl