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External Validation of a Machine Learning Model to Diagnose Kawasaki Disease
Jonathan Y Lam1, Chisato Shimizu2, Michael A Gardiner2
1Department of Biomedical Informatics, University of California San Diego, La Jolla, CA.
The Journal of Pediatrics
|March 23, 2025
Abstract
None:
We investigated the generalizability of a machine learning model trained to predict Kawasaki disease using laboratory and clinical data. The algorithm performed with >89% accuracy at 3 children's hospitals across the United States, demonstrating its potential as a physician support tool for diagnosing Kawasaki disease.
