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

Author:

Talker Leeran1ORCID,Dogan Cihan1,Neville Daniel2,Lim Rui Hen1ORCID,Broomfield Henry1ORCID,Lambert Gabriel3ORCID,Selim Ahmed1,Brown Thomas2ORCID,Wiffen Laura2ORCID,Carter Julian4,Ashdown Helen F.5ORCID,Hayward Gail5ORCID,Vijaykumar Elango6,Weiss Scott T.7ORCID,Chauhan Anoop2,Patel Ameera X.8ORCID

Affiliation:

1. Department of Machine Learning, TidalSense, Cambridge, UK

2. Respiratory Department, Portsmouth Hospitals University NHS Foundation Trust, Portsmouth, UK

3. Department of Clinical Operations, TidalSense, Cambridge, UK

4. Department of Engineering, TidalSense, Cambridge, UK

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

6. Department of Research, Modality GP Partnership, UK

7. Department of Medicine, Channing Division of Network Medicine, Harvard Medical School, Boston, MA, USA

8. Executive Department, TidalSense, Cambridge, UK

Funder

NIHR

Innovate UK

Pfizer OpenAir

National Institute for Health Research Invention for Innovation (NIHR i4i) Programme

SBRI Healthcare

Publisher

Informa UK Limited

Reference24 articles.

1. World Health Organisation. The top 10 causes of death 2020.

2. British Lung Foundation. Chronic obstructive pulmonary disease (COPD) statistics 2012.

3. The Projected Epidemic of COPD Hospitalizations Over the Next 15 Years: A Population Based Perspective

4. NHS UK. Chronic obstructive pulmonary disease (COPD) - treatment 2017.

5. Peter MA Calverley JA Anderson B et al. Salmeterol and fluticasone propionate and survival in chronic obstructive pulmonary disease 2007.

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