A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease
Abstract Background Kawasaki disease (KD) mainly occurs in children under 5 years old, and the most common complication of KD is coronary artery lesion (CAL). In recent years, the incidence rate of KD has increased year by year worldwide, so it is particularly important to strengthen the diagnosis o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | BMC Pediatrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12887-025-05917-w |
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