Machine learning models for prediction of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus: a singled centered retrospective study

Machine learning models for prediction of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus: a singled centered retrospective study

Abstract Objective This study aimed to develop and validate a machine learning algorithm-based model for predicting invasive Klebsiella pneumoniae liver abscess syndrome(IKPLAS) in diabetes mellitus and compare the performance of different models. Methods The clinical signs and data on the admission...

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Bibliographic Details
Main Authors: Chengyi Feng, Jia Di, Shufang Jiang, Xuemei Li, Fei Hua
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Infectious Diseases
Subjects:
Machine learning
Diabetes mellitus
Pyogenic liver abscess
Klebsiella pneumoniae
Prediction model
Online Access:https://doi.org/10.1186/s12879-023-08235-7

Internet

https://doi.org/10.1186/s12879-023-08235-7

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