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

Web-based and Mobile Health Interventions (3297) Machine Learning (1465) Artificial Intelligence (1371) Hearing Impairment and Hearing Loss (67) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Clinical Information and Decision Making (1407)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28999, first published .
Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach

Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach

Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach

Authors of this article:

Hansapani Rodrigo1, 2 Author Orcid Image ;   Eldré W Beukes2, 3, 4 Author Orcid Image ;   Gerhard Andersson5, 6 Author Orcid Image ;   Vinaya Manchaiah2, 3, 7, 8 Author Orcid Image
Article Authors Cited by (15) Tweetations (8) Metrics

Hansapani Rodrigo   1, 2 , PhD ;   Eldré W Beukes   2, 3, 4 , PhD ;   Gerhard Andersson   5, 6 , PhD ;   Vinaya Manchaiah   2, 3, 7, 8 , MBA, AUD, PhD

1 School of Mathematical and Statistical Sciences, University of Texas Rio Grande Valley, Edinburgh, TX, United States

2 Virtual Hearing Lab, Beaumont, TX, United States

3 Department of Speech and Hearing Sciences, Lamar University, Beaumont, TX, United States

4 Department of Vision and Hearing Sciences, School of Psychology and Sport Science, Anglia Ruskin University, Cambridge, United Kingdom

5 Department of Behavioral Sciences and Learning, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden

6 Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institute, Stockholm, Sweden

7 Department of Speech and Hearing, School of Allied Health Sciences, Manipal Academy of Higher Education, Karnataka, India

8 Department of Speech-Language Pathology and Audiology, University of Pretoria, Gauteng, South Africa

Corresponding Author:

  • Hansapani Rodrigo, PhD
  • School of Mathematical and Statistical Sciences
  • University of Texas Rio Grande Valley
  • 1201 W University Drive
  • Edinburgh, TX, 78539
  • United States
  • Phone: 1 9566652313
  • Email: hansapani.rodrigo@utrgv.edu