Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis
Abstract Objective To develop machine learning (ML) models incorporating explanatory cardiac magnetic resonance (CMR) parameters for predicting the prognosis of myocarditis in pediatric patients. Materials and methods 77 patients with pediatric myocarditis diagnosed clinically between January 2020 a...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
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| Series: | BMC Pediatrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12887-025-05753-y |
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