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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Artificial Intelligence (1421) Machine Learning (1501) Natural Language Processing (706) Diagnostic Tools in Mental Health (248)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38168, first published .
Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Authors of this article:

Sam Malins1 Author Orcid Image ;   Grazziela Figueredo2 Author Orcid Image ;   Tahseen Jilani2 Author Orcid Image ;   Yunfei Long3 Author Orcid Image ;   Jacob Andrews4 Author Orcid Image ;   Mat Rawsthorne5 Author Orcid Image ;   Cosmin Manolescu1 Author Orcid Image ;   Jeremie Clos2 Author Orcid Image ;   Fred Higton6 Author Orcid Image ;   David Waldram6 Author Orcid Image ;   Daniel Hunt7 Author Orcid Image ;   Elvira Perez Vallejos8 Author Orcid Image ;   Nima Moghaddam9 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Malgaroli M, Hull T, Zech J, Althoff T. Natural language processing for mental health interventions: a systematic review and research framework. Translational Psychiatry 2023;13(1) View
  2. Trifu R, Nemeș B, Herta D, Bodea-Hategan C, Talaș D, Coman H. Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure. Frontiers in Psychology 2024;15 View

Books/Policy Documents

  1. Xia Y, Zhao Q, Long Y, Xu G. Chinese Lexical Semantics. View