Machine learning improves identification of asthma risk in children

A instrumentality learning instrumentality that analyzes accusation already captured successful a child's physics wellness grounds helped pediatricians much accurately measure asthma hazard successful standardized objective lawsuit scenarios, according to a aviator randomized objective proceedings led by a Regenstrief Institute researcher. The survey was published successful Scientific Reports.