Open Access
Machine learning approach to predict acute kidney injury after liver surgery
Author(s) -
Junfeng Dong,
Qiang Xue,
Ting Chen,
Yuanyu Zhao,
Hong Fang,
Wenyuan Guo,
Jun-song Ji
Publication year - 2021
Publication title -
world journal of clinical cases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.368
H-Index - 10
ISSN - 2307-8960
DOI - 10.12998/wjcc.v9.i36.11255
Subject(s) - medicine , machine learning , brier score , artificial intelligence , perioperative , support vector machine , random forest , gradient boosting , decision tree , logistic regression , acute kidney injury , hepatocellular carcinoma , kidney disease , renal cell carcinoma , nephrectomy , discriminative model , surgery , algorithm , kidney , computer science