APPLICATION OF MACHINE LEARNING IN PREDICTING ALL-CAUSE MORTALITY IN PRIMARY CARDIAC MALIGNANT TUMORS

被引:0
|
作者
Truong, Vien T. [1 ]
Tripathi, Devendra [1 ]
Ngo, Tam N. [1 ]
Hoang Nguyen [1 ]
Patel, Vivek [1 ]
Quach, Kevin [1 ]
Qureshi, Rehan [1 ]
Khan, Amna [1 ]
Grandez, Cesar [1 ]
Skenderi, Sonela [1 ]
Dhar, Sunil K. [1 ]
Huy Vuong [1 ]
Binh Nguyen [1 ]
机构
[1] Nazareth Hosp, Philadelphia, PA USA
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
1533-044
引用
收藏
页码:2312 / 2312
页数:1
相关论文
共 50 条
  • [1] Application of Machine Learning in Predicting All-Cause Mortality in Patients With Left Ventricular Assist Device
    Truong, Vien T.
    Nguyen, Binh
    Wang, Alex Xing X.
    Dai, Phan
    Patel, Vivek
    Ahmad, Mansoor
    Siddique, Muhammad Saad
    Usama, Syed Muhammad
    Mondal, Avilash
    Quach, Kevin
    Agrawal, Durgesh
    Shah, Syed Fahad
    Skenderi, Sonela
    Metkus, Thomas
    Dhar, Sunil
    Chung, Eugene
    CIRCULATION, 2023, 148
  • [2] Machine Learning and Prediction of All-Cause Mortality in COPD
    Moll, Matthew
    Qiao, Dandi
    Regan, Elizabeth A.
    Hunninghake, Gary M.
    Make, Barry J.
    Tal-Singer, Ruth
    McGeachie, Michael J.
    Castaldi, Peter J.
    Estepar, Raul San Jose
    Washko, George R.
    Wells, James M.
    LaFon, David
    Strand, Matthew
    Bowler, Russell P.
    Han, MeiLan K.
    Vestbo, Jorgen
    Celli, Bartolome
    Calverley, Peter
    Crapo, James
    Silverman, Edwin K.
    Hobbs, Brian D.
    Cho, Michael H.
    CHEST, 2020, 158 (03) : 952 - 964
  • [3] Interpretable machine learning prediction of all-cause mortality
    Qiu, Wei
    Chen, Hugh
    Dincer, Ayse Berceste
    Lundberg, Scott
    Kaeberlein, Matt
    Lee, Su-In
    COMMUNICATIONS MEDICINE, 2022, 2 (01):
  • [4] Interpretable machine learning prediction of all-cause mortality
    Wei Qiu
    Hugh Chen
    Ayse Berceste Dincer
    Scott Lundberg
    Matt Kaeberlein
    Su-In Lee
    Communications Medicine, 2
  • [5] Predicting in-hospital all-cause mortality in heart failure using machine learning
    Mpanya, Dineo
    Celik, Turgay
    Klug, Eric
    Ntsinjana, Hopewell
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2023, 9
  • [6] Machine learning-based model for predicting all-cause mortality in severe pneumonia
    Zhao, Weichao
    Li, Xuyan
    Gao, Lianjun
    Ai, Zhuang
    Lu, Yaping
    Li, Jiachen
    Wang, Dong
    Li, Xinlou
    Song, Nan
    Huang, Xuan
    Tong, Zhao-hui
    BMJ OPEN RESPIRATORY RESEARCH, 2025, 12 (01)
  • [7] Predicting 3-year all-cause mortality in patients undergoing hemodialysis using machine learning
    Okubo, Aiko
    Doi, Toshiki
    Morii, Kenichi
    Nishizawa, Yoshiko
    Yamashita, Kazuomi
    Shigemoto, Kenichiro
    Mizuiri, Sonoo
    Arakawa, Tetsuji
    Arita, Michiko
    Naito, Takayuki
    Masaki, Takao
    JOURNAL OF NEPHROLOGY, 2025,
  • [8] PREDICTORS OF ALL-CAUSE MORTALITY IN THE SPRINT TRIAL IDENTIFIED BY MACHINE LEARNING
    Gani, Nuha
    Dey, Amit
    Xin, Victoria
    Wang, Runqiu
    Shalhoub, Ruba
    Wu, Colin
    Xin, Tian
    Almario, Eileen Navarro
    Patel, Tejas
    Fleg, Jerome
    Kettermann, Anna
    Csako, Gyorgy
    Sopko, George
    Sviglin, Helena
    Cooper, Lawton
    Hoque, Laboni
    Dandi, Gauri
    Chowdhury, Iffat
    Burkhart, Keith
    Calis, Karim
    Szarfman, Ana
    Mehta, Nehal
    Pucino, Frank
    Rosenberg, Yves
    Hasan, Ahmed
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 73 (09) : 1891 - 1891
  • [9] Machine learning for prediction of all-cause mortality in acute coronary syndrome
    Zaka, A.
    Gupta, A.
    Mustafiz, C.
    Mutahar, D.
    Parvez, R.
    Stretton, B.
    Kovoor, J.
    Mridha, N.
    Bacchi, S.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [10] Machine learning for prediction of all-cause mortality in acute coronary syndrome
    Zaka, A.
    Gupta, A.
    Mustafiz, C.
    Mutahar, D.
    Parvez, R.
    Stretton, B.
    Kovoor, J.
    Mridha, N.
    Bacchi, S.
    EUROPEAN HEART JOURNAL, 2024, 45