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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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Principais autores: Patrick Long, Andres Quintero, Javier Lopez-Molina, Merina Su, Nicola Boulter, Cindy Weber, Ralica Dimitrova
Format: Artigo
Sprog:Inglês
Udgivet: BMJ Publishing Group 2025-07-01
Serier:BMJ Health & Care Informatics
Online adgang:https://informatics.bmj.com/content/32/1/e101282.full
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