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

Development of Novel Medical Devices and Innovations for Existing Devices (83) Digital Biomarkers and Digital Phenotyping (198) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) New Methods (963) mHealth for Diagnosis (63) Ubiquitous Health (uHealth) (125)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50924, first published .
Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Authors of this article:

Teruhisa Watase1 Author Orcid Image ;   Yasuhiro Omiya2 Author Orcid Image ;   Shinichi Tokuno1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

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  2. Shen H, Cao J, Zhang L, Li J, Liu J, Chu Z, Wang S, Qiao Y. Classification research of TCM pulse conditions based on multi-label voice analysis. Journal of Traditional Chinese Medical Sciences 2024;11(2):172 View