Article

Importance of GWAS risk loci and clinical data in predicting asthma using machine-learning approaches

2020-05-11

Abstract excerpt

<title>Abstract</title> <p>Asthma is a serious immune-mediated respiratory airway disease. Its pathological processes involve genetics and the environment, but it remains unclear. To understand the risk factors of asthma, we combined genome-wide association study (GWAS) risk loci and clinical data in predicting asthma using machine-learning approaches. A case–control study with 123 asthma patients and 100 healthy...

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Literature Corpus work: 64d4370b-0946-5136-bc5b-7dd8e8933362
DOI: 10.21203/rs.3.rs-21271/v1

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