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

Leeran Talkera Department of Machine Learning, TidalSense, Cambridge, UK

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, UK

Henry Broomfielda Department of Machine Learning, TidalSense, Cambridge, UK

Gabriel Lambertc Department of Clinical Operations, TidalSense, Cambridge, UK

Ahmed Selima Department of Machine Learning, TidalSense, Cambridge, UKView further author information

Thomas Brownb Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UK

Laura Wiffenb Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UK

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, UK

Gail Haywarde Department of Primary Care Health Sciences, NIHR Community Healthcare MedTech and IVD Cooperative, University of Oxford, Oxford, UK

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, USA

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]

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