Identifying and characterising asthma subgroups at high risk of severe exacerbations using machine learning and longitudinal real-world data
Objectives To identify and characterise distinct subgroups of patients with asthma with severe acute exacerbations (AEs) by using a multistep clustering methodology that combines supervised and unsupervised machine learning.Methods This cohort study used anonymised, all-payer medical and prescriptio...
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| Huvudupphov: | , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
BMJ Publishing Group
2025-07-01
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| Serie: | BMJ Health & Care Informatics |
| Länkar: | https://informatics.bmj.com/content/32/1/e101282.full |
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