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Machine learning reveals limited predictive value of clinical factors for asthma exacerbations: insights from a real-world study

2025-07-10

Abstract excerpt

<title>Abstract</title> <p>Background While predictors of asthma exacerbation risk are generally well established, predictors of exacerbation severity remain largely undefined. Identifying robust clinical predictors of exacerbation severity is essential to support tailored management strategies and optimize resource allocation. This study leverages machine learning to evaluate the predictive value of clinical fac...

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Literature Corpus work
c13f3bde-f4ac-5fc2-815f-63ad21f0d2d8
DOI
10.21203/rs.3.rs-6664347/v1
Open publication

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Machine learning reveals limited predictive value of clinical factors for asthma exacerbations: insights from a real-world studyDOI 10.21203/rs.3.rs-6664347/v1
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