Artificial neural network risk prediction of COPD exacerbations using urine biomarkers
We identified a panel of biomarkers that can distinguish between stable and exacerbation state, and using an ANN model, it can predict exacerbations before symptoms occur.
Authors
- Clare Lendrem (ORCID: https://orcid.org/0000-0002-9435-7398)
- Graham Ball (ORCID: https://orcid.org/0000-0001-5828-7129)
- Malcolm Farrow (ORCID: https://orcid.org/0000-0002-3078-7401)
- Vijay Mistry (ORCID: https://orcid.org/0000-0002-3761-4714)
- Christopher Edward Brightling (ORCID: https://orcid.org/0000-0002-9345-4903)
- Annelyse Duvoix (ORCID: https://orcid.org/0000-0001-8470-5742)
- Gita Parekh
- Kevin Wilson (ORCID: https://orcid.org/0000-0002-5275-706X)
- Sarah Camille Glover (ORCID: https://orcid.org/0000-0002-9899-0473)
- Liesl Carr
- Paul J. Davis (ORCID: https://orcid.org/0000-0002-6794-4917)
- Lynne Watson (ORCID: https://orcid.org/0000-0001-6324-414X)
- Sara Graziadio
- J Finch
- Keir Lewis (ORCID: https://orcid.org/0000-0002-8248-6774)
- Sarah Parker
- A. Yousuf
- Sarah Rees (ORCID: https://orcid.org/0009-0007-8671-4934)
- Linda O’Brien
- Kate Porter
Institutions
- University of Leicester (GB)
- Swansea University (GB)
- Hywel Dda University Health Board (GB)
- Mologic (United Kingdom) (GB)
- Prince Philip Hospital (GB)
- NIHR Leeds In Vitro Diagnostics Co-operative (GB)
- NIHR Leicester Biomedical Research Centre (GB)
- Anglia Ruskin University (GB)
- Newcastle University (GB)
Publication Details
- Journal
- ERJ Open Research
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1183/23120541.00797-2024
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 3.54