Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73711, first published .
Developing an Equitable Machine Learning–Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation

Developing an Equitable Machine Learning–Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation

Developing an Equitable Machine Learning–Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation

Chelsea S Brown   1, 2 , BM ;   Luna Dziewietin   3 , BS ;   Virginia Partridge   3 , MCS ;   Jennifer Rae Myers   2, 4 , PhD

1 Health Sciences Integrated Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States

2 Musical Health Technologies, Los Angeles, CA, United States

3 Center for Data Science and Artificial Intelligence, University of Massachusetts Amherst, Amherst, MA, United States

4 Department of Hearing and Speech Sciences, University of Maryland, College Park, MD, United States

Corresponding Author:

  • Chelsea S Brown, BM
  • Health Sciences Integrated Program
  • Feinberg School of Medicine
  • Northwestern University
  • 633 North Saint Clair Street, 20th Floor
  • Chicago, IL 60611
  • United States
  • Phone: 1 312-503-3712
  • Email: chelsea.brown@northwestern.edu