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

Machine Learning (3300) Clinical Information and Decision Making (3844) New Methods (1845) Respiratory Medicine (223) Tools, Programs and Algorithms (600) mHealth for Data Collection and Research (1771) Decision Support for Health Professionals (2310) Digital Biomarkers and Digital Phenotyping (464) Pulmonology, COPD (237) Computer-Aided Diagnosis (433) Voice Phenotyping and Vocal Biomarkers (36)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77295, first published .
Sick woman coughing into tissue, wrapped in blanket and scarf

Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study

Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study

Authors of this article:

Wensheng Sun1 Author Orcid Image ;   Jiahao Zou1 Author Orcid Image ;   Na Yin1 Author Orcid Image ;   Wenying Fang2 Author Orcid Image ;   Jimin Sun3 Author Orcid Image ;   Ziping Miao3 Author Orcid Image ;   Shigui Yang4 Author Orcid Image
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Journals

  1. MOUOMENE MOFFO F, Noumsi A, Mvogo J, Bowong S. Hybrid SVM and CNN System for Cough Detection and Health Classification. Canadian Journal of Artificial Intelligence for Learning and Engineering Innovation 2026 View