A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models

被引:0
|
作者
Yawei Yang [1 ]
Junjie Tang [2 ]
Liping Ma [3 ]
Feng Wu [1 ]
Xiaoqing Guan [2 ]
机构
[1] Shanghai University of Traditional Chinese Medicine,Department of Cardiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine
[2] Shanghai University of Traditional Chinese Medicine,Institute of Interdisciplinary Integrative Medicine Research
[3] Changhai Hospital of Shanghai,Department of Cardiology
关键词
Acute myocardial infarction; Machine learning; Mortality prediction; Risk factors; Explainable machine learning;
D O I
10.1186/s12911-025-03052-1
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
    Bai, Weimin
    Hao, Benchuan
    Xu, Lijun
    Qin, Ji
    Xu, Weihao
    Qin, Lijie
    FRONTIERS IN MEDICINE, 2022, 9
  • [22] Predicting Long-Term Mortality in Patients With Acute Heart Failure by Using Machine Learning
    Park, Jiesuck
    Hwang, In-Chang
    Yoon, Yeonyee E.
    Park, Jun-Bean
    Park, Jae-Hyeong
    Cho, Goo-Yeong
    JOURNAL OF CARDIAC FAILURE, 2022, 28 (07) : 1078 - 1087
  • [23] Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques
    Penso, Marco
    Pepi, Mauro
    Fusini, Laura
    Muratori, Manuela
    Cefalu, Claudia
    Mantegazza, Valentina
    Gripari, Paola
    Ali, Sarah Ghulam
    Fabbiocchi, Franco
    Bartorelli, Antonio L.
    Caiani, Enrico G.
    Tamborini, Gloria
    JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2021, 8 (04)
  • [24] Machine learning modeling structures and framework for short-term forecasting and long-term projection of Streamflow
    Tran, Trung Duc
    Kim, Jongho
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2024, 38 (02) : 793 - 813
  • [25] Machine learning modeling structures and framework for short-term forecasting and long-term projection of Streamflow
    Trung Duc Tran
    Jongho Kim
    Stochastic Environmental Research and Risk Assessment, 2024, 38 : 793 - 813
  • [26] Short-term All-cause In-hospital Mortality Prediction by Machine Learning Using Numeric Laboratory Results
    Shimada, Gen
    Nakabayashi, Rumi
    Komatsu, Yasuhiro
    JMA JOURNAL, 2023, 6 (04): : 470 - 480
  • [27] Do β-blockers reduce short-term mortality following acute myocardial infarction? A systematic review and meta-analysis
    Al-Reesi, Abdullah
    Al-Zadjali, Nabil
    Perry, Jeff
    Fergusson, Dean
    Al-Shamsi, Mohammed
    Al-Thagafi, Majid
    Stiell, Ian
    CANADIAN JOURNAL OF EMERGENCY MEDICINE, 2008, 10 (03) : 215 - 223
  • [28] Machine learning for accurate methane concentration predictions: short-term training, long-term results
    Luo, Ran
    Wang, Jingyi
    Gates, Ian
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2023, 5 (08):
  • [29] Incidence, Predictors, and Long-Term Mortality of Recurrent Myocardial Infarction in Patients following Discharge for Acute Myocardial Infarction
    Nakatani, Daisaku
    Sakata, Yasuhiko
    Suna, Shinichiro
    Usami, Masaya
    Sen Matsumoto
    Hara, Masahiko
    Hamasaki, Toshimitsu
    Sato, Hiroshi
    Nanto, Shinsuke
    Komuro, Issei
    CIRCULATION, 2011, 124 (21)
  • [30] New approach based on machine learning for short-term mortality prediction in neonatal intensive care unit
    Kefi Z.
    Aloui K.
    Naceur M.S.
    Intl. J. Adv. Comput. Sci. Appl., 2019, 7 (583-591): : 583 - 591