Effect of an electronic health record-integrated machine learning asthma risk marker on pediatrician prognostic accuracy during preschool age: a pilot randomize
Early identification of children at risk for persistent asthma is challenging because preschool respiratory symptoms are heterogeneous and often overlap with transient wheezing illnesses. Machine learning-based prediction models may improve risk stratification, but few have been
Medical Literature · Updated
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