Machine learning improves identification of asthma risk in children

A machine learning tool that analyzes information already captured in a child's electronic health record helped pediatricians more accurately assess asthma risk in standardized clinical case scenarios, according to a pilot randomized clinical trial led by a Regenstrief Institute researcher. The study was published in Scientific Reports.

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