Development and Validation of Machine-Learning Model to Predict the Risk of Major Cardiovascular Events and Death for Patients with Kidney Failure Having Noncardiac Surgery

被引：0
|
作者：
Pabla, Gurpreet S. [1 ]
Tangri, Navdeep [2 ,4 ]
Harrison, Tyrone [3 ]
Ferguson, Thomas W. [4 ]
Sevinc, Emir
Whitlock, Reid [4 ]
机构：
[1] Univ Manitoba, Fac Hlth Sci, Winnipeg, MB, Canada
[2] Univ Manitoba, Max Rady Coll Med, Winnipeg, MB, Canada
[3] Univ Calgary, Cumming Sch Med, Calgary, AB, Canada
[4] Seven Oaks Gen Hosp, Winnipeg, MB, Canada
来源：
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2024年 / 35卷 / 10期
关键词：
D O I：
10.1681/ASN.2024xgy74hfd
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
TH-PO003
引用
收藏
页数：2
相关论文
共 50 条
  • [21] Using a machine learning model to predict the development of acute kidney injury in patients with heart failure
    Liu, Wen Tao
    Liu, Xiao Qi
    Jiang, Ting Ting
    Wang, Meng Ying
    Huang, Yang
    Huang, Yu Lin
    Jin, Feng Yong
    Zhao, Qing
    Wu, Qin Yi
    Liu, Bi Cheng
    Ruan, Xiong Zhong
    Ma, Kun Ling
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [22] Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units
    Zhao, Qin-Yu
    Wang, Huan
    Luo, Jing-Chao
    Luo, Ming-Hao
    Liu, Le-Ping
    Yu, Shen-Ji
    Liu, Kai
    Zhang, Yi-Jie
    Sun, Peng
    Tu, Guo-Wei
    Luo, Zhe
    FRONTIERS IN MEDICINE, 2021, 8
  • [23] Development and validation of a machine learning model to predict mortality risk in patients with COVID-19
    Stachel, Anna
    Daniel, Kwesi
    Ding, Dan
    Francois, Fritz
    Phillips, Michael
    Lighter, Jennifer
    BMJ HEALTH & CARE INFORMATICS, 2021, 28 (01)
  • [24] Development of a Machine Learning Algorithm to Predict Major Adverse Kidney Events (MAKE) After Hospitalization
    Koyner, Jay L.
    Carey, Kyle
    Churpek, Matthew M.
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2022, 33 (11): : 2 - 2
  • [25] DEVELOPMENT AND VALIDATION OF A MACHINE-LEARNING MODEL TO PREDICT ADEQUATE BOWEL PREPARATION IN A SAMPLE OF US VETERANS
    Kurlander, Jacob E.
    Saini, Sameer D.
    Lipson, Rachel
    Menees, Stacy B.
    Sultan, Shahnaz
    Kokaly, Alex N.
    Waljee, Akbar K.
    GASTROENTEROLOGY, 2019, 156 (06) : S263 - S264
  • [26] Incomplete Revascularization Is Associated With an Increased Risk for Major Adverse Cardiovascular Events Among Patients Undergoing Noncardiac Surgery
    Armstrong, Ehrin J.
    Graham, Laura A.
    Waldo, Stephen W.
    Valle, Javier A.
    Maddox, Thomas M.
    Hawn, Mary T.
    JACC-CARDIOVASCULAR INTERVENTIONS, 2017, 10 (04) : 329 - 338
  • [27] Development and validation of a novel score for predicting perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery
    Jin, Yunpeng
    Shen, Liang
    Ye, Runze
    Zhou, Min
    Guo, Xiaogang
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2024, 405
  • [28] DEVELOPMENT AND EXTERNAL VALIDATION OF A MACHINE LEARNING MODEL TO PREDICT BILEVEL NONINVASIVE VENTILATION FAILURE IN HOSPITALIZED PATIENTS
    Temte, Brandon
    Carey, Kyle a
    Shah, Nirav s
    Winslow, Christopher
    Gilbert, Emily r
    Afshar, Majid
    Edelson, Dana p
    Churpek, Matthew m
    CHEST, 2024, 166 (04) : A1741 - A1741
  • [29] Is It Time for Machine Learning Algorithms to Predict the Risk of Kidney Failure in Patients with Chronic Kidney Disease?
    Thongprayoon, Charat
    Kaewput, Wisit
    Choudhury, Avishek
    Hansrivijit, Panupong
    Mao, Michael A.
    Cheungpasitporn, Wisit
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (05)
  • [30] Development and validation of a machine-learning model for preoperative risk of gastric gastrointestinal stromal tumors
    Liang, Shi-Qi
    Cui, Yu-Tong
    Hu, Guang-Bing
    Guo, Hai-Yang
    Chen, Xin-Rui
    Zuo, Ji
    Qi, Zhi-Rui
    Wang, Xian-Fei
    JOURNAL OF GASTROINTESTINAL SURGERY, 2025, 29 (01)
12345