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Research Article
Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning
Leeran Talkera Department of Machine Learning, TidalSense, Cambridge, UKhttps://orcid.org/0009-0006-4186-0535View further author information
, Cihan Dogana Department of Machine Learning, TidalSense, Cambridge, UKView further author information
, Daniel Nevilleb Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UKView further author information
, Rui Hen Lima Department of Machine Learning, TidalSense, Cambridge, UKhttps://orcid.org/0009-0004-2284-7410View further author information
, Henry Broomfielda Department of Machine Learning, TidalSense, Cambridge, UKhttps://orcid.org/0000-0003-2152-8480View further author information
, Gabriel Lambertc Department of Clinical Operations, TidalSense, Cambridge, UKhttps://orcid.org/0000-0003-3287-9091View further author information
, Ahmed Selima Department of Machine Learning, TidalSense, Cambridge, UKView further author information
, Thomas Brownb Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UKhttps://orcid.org/0000-0001-7336-4719View further author information
, Laura Wiffenb Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UKhttps://orcid.org/0000-0003-3688-7662View further author information
, Julian Carterd Department of Engineering, TidalSense, Cambridge, UKView further author information
, Helen F. Ashdowne Department of Primary Care Health Sciences, NIHR Community Healthcare MedTech and IVD Cooperative, University of Oxford, Oxford, UKhttps://orcid.org/0000-0002-7758-7095View further author information
, Gail Haywarde Department of Primary Care Health Sciences, NIHR Community Healthcare MedTech and IVD Cooperative, University of Oxford, Oxford, UKhttps://orcid.org/0000-0003-0852-627XView further author information
, Elango Vijaykumarf Department of Research, Modality GP Partnership, UKView further author information
, Scott T. Weissg Department of Medicine, Channing Division of Network Medicine, Harvard Medical School, Boston, MA, USAhttps://orcid.org/0000-0001-7196-303XView further author information
, Anoop Chauhanb Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UKView further author information
& Ameera X. Patelh Executive Department, TidalSense, Cambridge, UKCorrespondence[email protected]
https://orcid.org/0000-0002-4157-2705View further author information
show allhttps://orcid.org/0000-0002-4157-2705View further author information
Article: 2321379
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Received 30 Oct 2023, Accepted 15 Feb 2024, Published online: 24 Apr 2024
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