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

Mobile Health (mhealth) (2939) JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1371) Machine Learning (1465) Digital Biomarkers and Digital Phenotyping (191)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44410, first published .
Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19

Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19

Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19

Authors of this article:

Savneet Kaur1 Author Orcid Image ;   Erik Larsen2 Author Orcid Image ;   James Harper2 Author Orcid Image ;   Bharat Purandare3 Author Orcid Image ;   Ahmet Uluer4 Author Orcid Image ;   Mohammad Adrian Hasdianda4 Author Orcid Image ;   Nikita Arun Umale4 Author Orcid Image ;   James Killeen5 Author Orcid Image ;   Edward Castillo5 Author Orcid Image ;   Sunit Jariwala1 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.