Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study

Supplementary Material 2: Supplementary Table S1. General variables and definitions of severe infection. Supplementary Table S2. Baseline characteristics of patients in the training, test and validation cohorts. Supplementary Table S3. Hyper-parameter settings of the proposed model. Supplementary Ta...

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Detalles Bibliográficos
Autor Principal:	Sijie Yu (8895605) (author)
Outros autores:	Wenhao Tang (839411) (author), De Zhang (6832625) (author), Fuwei Shen (22685936) (author), Anshuo Wang (17150164) (author), Han Chen (228557) (author), Hongxing Chen (610873) (author), Fanghong Zhang (20356512) (author), Li Xiao (307908) (author), Yan Li (23143) (author), Zongwen Chen (13843126) (author), Li Wang (15202) (author), Mo Wang (152951) (author), Haiping Yang (559756) (author), Qiu Li (13990651) (author)
Publicado:	2025
Subjects:	Microbiology Genetics Molecular Biology Immunology Infectious Diseases Virology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Idiopathic nephrotic syndrome Severe infection Children Machine learning Prediction model
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Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study

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