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

Formative Evaluation of Non-Ehealth Innovations (195) Recruitment of Research Participants (379) Precision Medicine (162) Machine Learning (2084) Ethics, Privacy, and Legal Issues (621)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65320, first published .
Detecting Conversation Topics in Recruitment Calls of African American Participants to the All of Us Research Program Using Machine Learning: Model Development and Validation Study

Detecting Conversation Topics in Recruitment Calls of African American Participants to the All of Us Research Program Using Machine Learning: Model Development and Validation Study

Detecting Conversation Topics in Recruitment Calls of African American Participants to the All of Us Research Program Using Machine Learning: Model Development and Validation Study

Authors of this article:

Priscilla Pemu1, 2 Author Orcid Image ;   Michael Prude2 Author Orcid Image ;   Atuarra McCaslin2 Author Orcid Image ;   Elizabeth Ojemakinde2 Author Orcid Image ;   Christopher Awad3 Author Orcid Image ;   Kelechi Igwe2 Author Orcid Image ;   Anny Rodriguez4 Author Orcid Image ;   Jasmine Foriest5 Author Orcid Image ;   Muhammed Idris1, 2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Priscilla Pemu   1, 2 * , MD ;   Michael Prude   2 * , BS ;   Atuarra McCaslin   2 * , BA ;   Elizabeth Ojemakinde   2 * , MD ;   Christopher Awad   3 , MD ;   Kelechi Igwe   2 , MPH ;   Anny Rodriguez   4 , MPH, PhD ;   Jasmine Foriest   5 , MS, MPH ;   Muhammed Idris   1, 2, 4 * , PhD

1 Department of Medicine, Morehouse School of Medicine, Atlanta, GA, United States

2 Clinical Research Center, Morehouse School of Medicine, Atlanta, GA, United States

3 Wexner Medical Center, The Ohio State University, Colombus, OH, United States

4 Department of Public Health Education, Morehouse School of Medicine, Atlanta, GA, United States

5 Human-Centered Computing, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States

*these authors contributed equally

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