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

Machine Learning (1937) Decision Support for Health Professionals (1453) Frailty Detection, Assessment and Prediction (50) AI in Older Adult Care (36) Applications of AI (235) mHealth for Diagnosis (76) Artificial Intelligence (1971)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57298, first published .
Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study

Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study

Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study

Authors of this article:

Taehwan Kim1 Author Orcid Image ;   Jung-Yeon Choi2 Author Orcid Image ;   Myung Jin Ko1 Author Orcid Image ;   Kwang-il Kim2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Taehwan Kim   1 * , PhD ;   Jung-Yeon Choi   2 * , MD, PhD ;   Myung Jin Ko   1 , MD ;   Kwang-il Kim   2, 3 , MD, PhD

1 Silvia Health Inc., Seoul, Republic of Korea

2 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

3 Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Kwang-il Kim, MD, PhD
  • Department of Internal Medicine
  • Seoul National University Bundang Hospital
  • Gyeonggi-do
  • Seongnam-si
  • Republic of Korea
  • Phone: 82 82-031-787-7032
  • Fax: 82 82-031-787-4052
  • Email: kikim907@snu.ac.kr