Medical Xpress·3 min read·medium

Machine learning improves identification of asthma risk in children

R
Regenstrief Institute
Machine learning improves identification of asthma risk in children
AI Summary

A new machine learning tool called the Passive Digital Marker analyzes existing electronic health records to help pediatricians identify children at risk for persistent asthma. The tool provides a risk assessment without requiring additional testing or patient questionnaires.

edited by Gaby Clark , reviewed by Andrew Zinin

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Machine learning improves identification of asthma risk in children — Headlinne — headlinne