Infection and Drug Resistance
Development and Validation of an Interpretable Machine Learning Model for Predicting Carbapenem-Resistant Klebsiella pneumoniae Using Routine Peripheral Blood Indicators: A Retrospective Study
Von Mingda Wu, Naijin Wei, Zheng Zhang und 4 weiteren.
Inhalt auf Englisch
Abstract
Objective
This study aimed to develop and validate an interpretable machine learning model for early prediction of carbapenem-resistant Klebsiella pneumoniae (CRKP) infection using routine peripheral blood indicators, providing a rapid risk assessment tool before antimicrobial susceptibility results.