Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods

Abstract COVID-19 has posed a significant global health challenge, affecting individuals across all age groups. While extensive research has focused on adults, pediatric patients exhibit distinct clinical characteristics that necessitate specialized predictive models for disease severity. Machine le...

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Hauptverfasser: Babak Pourakbari, Setareh Mamishi, Sepideh Keshavarz Valian, Shima Mahmoudi, Reihaneh Hosseinpour Sadeghi, Mohammad Reza Abdolsalehi, Mahmoud Khodabandeh, Mohammad Farahmand
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-08-01
Schriftenreihe:Scientific Reports
Schlagworte:
COVID-19
Pediatric patients
Machine learning
Severity prediction
Random forest
Ensemble model
Online Zugang:https://doi.org/10.1038/s41598-025-15366-1
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