共 235 条
[21]
Kuo G(2017)Imbalanced-learn: a python toolbox to tackle the curse of imbalanced datasets in machine learning J Mach Learn Res 18 559-80
[22]
Koyner JL(2004)A study of the behavior of several methods for balancing machine learning training data SIGKDD Explor Newsl 6 20-514
[23]
Davison DL(2018)Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients Zhonghua Shao Shang Za Zhi 34 343-101
[24]
Brasha-Mitchell E(2019)Development and validation of quick acute kidney injury-score (q-aki) to predict acute kidney injury at admission to a multidisciplinary intensive care unit PLoS One 14 0217424-undefined
[25]
Chalikonda DM(2018)Explainable machine-learning predictions for the prevention of hypoxaemia during surgery Nat Biomed Eng 2 749-undefined
[26]
Arthur JM(2015)Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study Intensive Care Med 41 1411-undefined
[27]
Shaw AD(2020)From local explanations to global understanding with explainable AI for trees Nat Mach Intell 2 56-undefined
[28]
Tumlin JA(2017)Acute kidney injury Ann Intern Med 167 66-undefined
[29]
Trevino SA(2019)Machine learning versus physicians’ prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor Crit Care 23 282-undefined
[30]
Bennett MR(2019)A prediction model for severe AKI in critically ill adults that incorporates clinical and biomarker data Clin J Am Soc Nephrol 14 506-undefined