MACHINE LEARNING-GUIDED EARLY PREDICTION OF PERSISTENT ACUTE KIDNEY INJURY AFTER CARDIAC SURGERY

被引：0

作者：

Jangda, Mateen ^{[1
]}

Desman, Jacob ^{[2
]}

Takkavatakarn, Kullaya ^{[2
]}

Yimen, Mekeleya ^{[2
]}

Kumar, Gagan ^{[3
]}

McCarthy, Paul ^{[4
]}

Kohli-Seth, Roopa ^{[5
]}

Nadkarni, Girish ^{[2
]}

Sakhuja, Ankit ^{[4
]}

机构：

[1] Georgia Inst Technol, Atlanta, GA USA

[2] Icahn Sch Med Mt Sinai, New York, NY USA

[3] Northeast Georgia Phys Grp, Gainesville, GA USA

[4] West Virginia Univ, Morgantown, WV USA

[5] Mt Sinai Hlth Syst, New York, NY USA

来源：

CRITICAL CARE MEDICINE | 2024年 / 52卷

关键词：

D O I：

暂无

中图分类号：

R4 [临床医学];

学科分类号：

1002 ; 100602 ;

摘要：

1319

引用

页数：1

共 50 条

[31] Prediction of the severity of acute kidney injury after on-pump cardiac surgery
Wang, Yi Shun
Chen, Dong Xu
Yan, Min
Wu, Zhong
Guo, Ying Qiang
Li, Qian
Du, Lei
JOURNAL OF CLINICAL ANESTHESIA, 2022, 78
[32] Machine learning approach to predict acute kidney injury after liver surgery
Dong, Jun-Feng
Xue, Qiang
Chen, Ting
Zhao, Yuan-Yu
Fu, Hong
Guo, Wen-Yuan
Ji, Jun-Song
WORLD JOURNAL OF CLINICAL CASES, 2021, 9 (36) : 11255 - 11264
[33] Machine learning approach to predict acute kidney injury after liver surgery
Jun-Feng Dong
Qiang Xue
Ting Chen
Yuan-Yu Zhao
Hong Fu
Wen-Yuan Guo
Jun-Song Ji
World Journal of Clinical Cases, 2021, 9 (36) : 11255 - 11264
[34] Urinary Biomarkers in the Early Detection of Acute Kidney Injury after Cardiac Surgery
Han, Won K.
Wagener, Gebhard
Zhu, Yanqing
Wang, Shuang
Lee, H. Thomas
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2009, 4 (05): : 873 - 882
[35] Validation of Early Biomarkers of Acute Kidney Injury After Pediatric Cardiac Surgery
Krawczeski, Catherine D.
Devarajan, Prasad
Nguyen, Mai
Kathman, Thelma
Wang, Zhu
Parikh, Chirag
CIRCULATION, 2008, 118 (18) : S914 - S914
[36] URINARY CADMIUM AS AN EARLY BIOMARKER OF ACUTE KIDNEY INJURY AFTER CARDIAC SURGERY
Allen, Jennifer
Gardner, David
Skinner, Henry
Richens, David
Szafranek, Adam
Edmonds, Kathryn
Mitchell, Ian
Naik, Surendra
Shanmuganathan, Selvaraj
Dhiman, Paula
Devonald, Mark
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2018, 33
[37] An Explainable Machine Learning Model to Predict Acute Kidney Injury After Cardiac Surgery: A Retrospective Cohort Study
Gao, Yuchen
Wang, Chunrong
Dong, Wenhao
Li, Bianfang
Wang, Jianhui
Li, Jun
Tian, Yu
Liu, Jia
Wang, Yuefu
CLINICAL EPIDEMIOLOGY, 2023, 15 : 1145 - 1157
[38] Machine Learning Driven Prediction of Hyperglycemia, Acute Kidney Injury, and Atrial Fibrillation after Cardiac Surgery Using High-Resolution Metabolomics
Ku, Dohyun
Varghese, Jithin Sam
Smith, Matthew R.
Perez-Guzman, Mireya
Arroyo, Lizda I. Guerrero
Bartelt, Jackson
Tajrishi, Farbod Zahedi
Li, Jing
Pasquel, Francisco J.
DIABETES, 2024, 73
[39] Cardiac Biomarkers and Acute Kidney Injury After Cardiac Surgery
Bucholz, Emily M.
Whitlock, Richard P.
Zappitelli, Michael
Devarajan, Prasad
Eikelboom, John
Garg, Amit X.
Philbrook, Heather Thiessen
Devereaux, Philip J.
Krawczeski, Catherine D.
Kavsak, Peter
Shortt, Colleen
Parikh, Chirag R.
PEDIATRICS, 2015, 135 (04) : E945 - E956
[40] Interpretable machine learning model for early prediction of acute kidney injury in patients with rhabdomyolysis
Ximu Zhang
Xiuting Liang
Zhangning Fu
Yibo Zhou
Yao Fang
Xiaoli Liu
Qian Yuan
Rui Liu
Quan Hong
Chao Liu
Emergency and Critical Care Medicine, 2024, 4 (04) : 155 - 162

← 1 2 3 4 5 →