Article

Development of Childhood Asthma Prediction Models using Machine Learning Approaches

2021-04-06

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Wheeze is common in early life and often transient. It is difficult to identify which children will experience persistent symptoms and subsequently develop asthma. Machine learning approaches have the potential for better predictive performance and generalisability over existing childhood asthma prediction models. <h4>Objective</h4> To apply machine learning approaches for pre...

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Literature Corpus work: 842c27c0-10dd-5cfb-a862-994c50a83b96
DOI: 10.1101/2021.03.31.21254678

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