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

Formative Evaluation of Digital Health Interventions (2849) Machine Learning (1762) AI Language Models in Health Care (112) Natural Language Processing (806)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67835, first published .
Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation

Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation

Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation

Authors of this article:

Ruvini Sanjeewa1 Author Orcid Image ;   Ravi Iyer1 Author Orcid Image ;   Pragalathan Apputhurai1 Author Orcid Image ;   Nilmini Wickramasinghe2 Author Orcid Image ;   Denny Meyer1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ruvini Sanjeewa   1 , BSc ;   Ravi Iyer   1 , PhD ;   Pragalathan Apputhurai   1 , PhD ;   Nilmini Wickramasinghe   2 , PhD ;   Denny Meyer   1 , PhD

1 School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, Australia

2 School of Computing, Engineering & Mathematical Sciences, La Trobe University, Melbourne, Australia

Corresponding Author:

  • Ruvini Sanjeewa, BSc
  • School of Health Sciences, Swinburne University of Technology, Hawthorn
  • PO Box 218, John Street
  • Melbourne 3122
  • Australia
  • Phone: 61 422587030
  • Email: rsanjeewa@swin.edu.au