An artificial intelligence algorithm‐based smartphone application for daily cough monitoring

Author:

Shim Ji‐Su1ORCID,Kim Min‐Hye1ORCID,Lee Sang Min2ORCID,Kim Sae‐Hoon3ORCID,Kwon Jae‐Woo4ORCID,Song Catherine5,Ahn Kyung‐Min6ORCID,Kang Sung‐Yoon2ORCID,Park Han‐Ki7ORCID,Park Heung‐Woo8ORCID,Kim Byung‐Keun9ORCID,Yang Min‐Suk6ORCID

Affiliation:

1. Department of Internal Medicine Ewha Womans University College of Medicine Seoul Republic of Korea

2. Department of Internal Medicine Gachon University Gil Medical Center Incheon Republic of Korea

3. Department of Internal Medicine Seoul National University Bundang Hospital Seongnam Republic of Korea

4. Department of Internal Medicine Kangwon National University School of Medicine Chuncheon Republic of Korea

5. Soundable Health, Inc. California San Francisco USA

6. Department of Internal Medicine SMG‐SNU Boramae Medical Center Seoul Republic of Korea

7. Division of Allergy and Clinical Immunology, Department of Internal Medicine School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital Daegu Republic of Korea

8. Department of Internal Medicine Seoul National University College of Medicine Seoul Republic of Korea

9. Division of Pulmonology, Allergy and Critical Care Medicine, Department of Internal Medicine Korea University College of Medicine Seoul Republic of Korea

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Reference8 articles.

1. New Developments in the Objective Assessment of Cough

2. The present and future of cough counting tools

3. PernaLD SpinaG Thackray‐NoceraS et al.An automated and unobtrusive system for cough detection. Paper presented at: 2017 IEEE Life Sciences Conference (LSC); 13–15;2017.

4. Improvements in Objective and Subjective Measures of Chronic Cough with Gefapixant: A Pooled Phase 3 Efficacy Analysis of Predefined Subgroups

5. An update on measurement and monitoring of cough: what are the important study endpoints?;Spinou A;J Thorac Dis,2014

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