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

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, NL

2 Interapy PLC, Amsterdam, NL

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

4 ARQ National Psychotrauma Centre, Diemen, NL

Corresponding Author:

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