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

Neurotech Innovations, Diagnostic Tools and Techniques (41) mHealth for Data Collection and Research (1016) Computer-Aided Diagnosis (155) Digital Biomarkers and Digital Phenotyping (212) Dementia and Cognitive Decline (529)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64624, first published .
Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

Authors of this article:

Rahmina Rubaiat1 Author Orcid Image ;   John Michael Templeton2 Author Orcid Image ;   Sandra L Schneider3 Author Orcid Image ;   Upeka De Silva4 Author Orcid Image ;   Samaneh Madanian4 Author Orcid Image ;   Christian Poellabauer1 Author Orcid Image
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Rahmina Rubaiat   1 * , MSc ;   John Michael Templeton   2 , PhD ;   Sandra L Schneider   3 , PhD ;   Upeka De Silva   4 , MEng ;   Samaneh Madanian   4 , PhD ;   Christian Poellabauer   1 * , PhD

1 Knight Foundation School of Computer and Information Sciences, Florida International University, Miami, FL, United States

2 Department of Computer Science and Engineering, University of South Florida, Tampa, FL, United States

3 Department of Communicative Sciences & Disorders, Saint Mary’s College, Notre Dame, IN, United States

4 Department of Computer Science and Software Engineering, Auckland University of Technology, Auckland, New Zealand

*these authors contributed equally

Corresponding Author:

  • Rahmina Rubaiat, MSc
  • Knight Foundation School of Computer and Information Sciences
  • Florida International University
  • 11200 SW 8th St.
  • Miami, FL, 33199
  • United States
  • Phone: 1 7863286828
  • Email: rruba005@fiu.edu