Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning

Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning

Introduction Spirometry is the gold standard for COPD diagnosis and severity determination, but is technique-dependent, nonspecific, and requires administration by a trained healthcare professional. There is a need for a fast, reliable, and precise alternative diagnostic test. This study’s aim was t...

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Bibliographic Details
Main Authors: Leeran Talker, Cihan Dogan, Daniel Neville, Rui Hen Lim, Henry Broomfield, Gabriel Lambert, Ahmed Selim, Thomas Brown, Laura Wiffen, Julian Carter, Helen F. Ashdown, Gail Hayward, Elango Vijaykumar, Scott T. Weiss, Anoop Chauhan, Ameera X. Patel
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:COPD
Subjects:
Pulmonary Disease
chronic obstructive
machine learning
diagnosis
capnometry
severity assessment
Online Access:https://www.tandfonline.com/doi/10.1080/15412555.2024.2321379

Internet

https://www.tandfonline.com/doi/10.1080/15412555.2024.2321379

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