Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning
Abstract Objective Kawasaki syndrome (KS) is an acute vasculitis that affects children < 5 years of age and leads to coronary artery lesions (CAL) in about 20-25% of untreated cases. Machine learning (ML) is a branch of artificial intelligence (AI) that integrates complex data sets on a large sca...
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| Main Authors: | , , , , |
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| Format: | Book |
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BMC,
2024-03-01T00:00:00Z.
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