Application of Machine Learning to Predict Acute Kidney Disease in Patients With Sepsis Associated Acute Kidney Injury
Jiawei He(Hubei University of Chinese Medicine), Meili Duan(Jiangxi University of Traditional Chinese Medicine), Jin Lin(Kyoto University)
Cited by 38
Related Papers
Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study
|The Lancet|2021|391
Estimating global, regional, and national daily and cumulative infections with SARS-CoV-2 through Nov 14, 2021: a statistical analysis
|The Lancet|2022|319
Chronic cerebral hypoperfusion induces white matter lesions and loss of oligodendroglia with DNA fragmentation in the rat
|Acta Neuropathologica|2003|159
miR-181a-5p Inhibits Pyroptosis in Sepsis-Induced Acute Kidney Injury through Downregulation of NEK7
|Journal of Immunology Research|2022|16