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

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 of 213...

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Detalles Bibliográficos
Autores principales: Feng, Chengyi, Di, Jia, Jiang, Shufang, Li, Xuemei, Hua, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157913/
https://www.ncbi.nlm.nih.gov/pubmed/37142976
http://dx.doi.org/10.1186/s12879-023-08235-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157913/
https://www.ncbi.nlm.nih.gov/pubmed/37142976
http://dx.doi.org/10.1186/s12879-023-08235-7

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