Identification of prognostic factors for pediatric myocarditis with a random forests algorithm-assisted approach.
Background: Pediatric myocarditis is a rare disease with substantial mortality. Little is known regarding its prognostic factors. We hypothesize that certain comorbidities and procedural needs may increase risks of poor outcomes. This study aims to identify prognostic factors for pediatric myocardit...
| Published in: | Pediatric Research Vol. 90; no. 2; pp. 427 - 431 |
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| Main Authors: | , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Aug2021
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| Online Access: | View this record in EBSCOhost |