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

New Methods (1169) Research Instruments, Questionnaires, and Tools (776) Geriatrics and Longevity Medicine (59) Digital Biomarkers and Digital Phenotyping (313) Computer-Aided Diagnosis (274) New Services for the Elderly (67) Advanced Data Analytics in eHealth (231) Frailty Detection, Assessment and Prediction (70) Neurotech Innovations, Diagnostic Tools and Techniques (55)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58466, first published .
Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study

Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study

Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study

Authors of this article:

Yu-Chun Lin1, 2 Author Orcid Image ;   Huang-Ting Yan3 Author Orcid Image ;   Chih-Hsueh Lin4, 5 Author Orcid Image ;   Hen-Hong Chang1, 2, 6 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Lin Y, Yan H. Frailty phenotypes and their association with health consequences: a comparison of different measures. Aging Clinical and Experimental Research 2024;36(1) View
  2. Nakao M, Shimosato M, Sakane N, Nakashima T. Oral health assessment of end-of-life patients with cancer: Evaluating the diagnostic accuracy of the oral assessment guide and oral health assessment tool in prognosis prediction. Supportive Care in Cancer 2025;33(8) View
  3. Amir-Behghadami M, Gholipour K, Mohammadzadeh Z. Vocal biomarkers for geriatric health assessment: a scoping review protocol. BMJ Open 2026;16(2):e109480 View
  4. Da Cunha E, Zory R, Chorin F, Manera V, Gros A. Spontaneous speech enables scalable digital phenotyping of physical functional deficits in aging. npj Aging 2026 View