Predicting and interpreting key features of refractory Mycoplasma pneumoniae pneumonia using multiple machine learning methods

Abstract In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantly risen, posing severe pulmonary and extrapulmonary complications, making early identification a challenge for clinicians. In this retrospective single-center study, we included patients diag...

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Bibliografische gegevens

Hoofdauteurs:	Yuhan Jiang, Xu Wang, Li Li, Yifan Wang, Xuelin Wang, Yingxue Zou
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Nature Portfolio 2025-05-01
Reeks:	Scientific Reports
Onderwerpen:	Mycoplasma Pneumoniae Refractory Mycoplasma Pneumoniae pneumonia Machine learning Predictive model
Online toegang:	https://doi.org/10.1038/s41598-025-02962-4
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