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

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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Bibliographic Details
Main Authors: Yuhan Jiang, Xu Wang, Li Li, Yifan Wang, Xuelin Wang, Yingxue Zou
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Mycoplasma Pneumoniae
Refractory Mycoplasma Pneumoniae pneumonia
Machine learning
Predictive model
Online Access:https://doi.org/10.1038/s41598-025-02962-4
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