A Machine Learning Approach to Simplify Risk Stratification of Patients with Atherosclerotic Cardiovascular Disease

被引：0
|
作者：
Li, Hsin Fang
Nute, Andrew
Weerasinghe, Roshanthi
Wendt, Staci
Wilson, Eleni
Sidelnikov, Eduard
Kathe, Niranjan
Swihart, Charissa
Jones, Laney
Gluckman, Ty
机构：
来源：
CIRCULATION | 2024年 / 150卷
关键词：
D O I：
10.1161/circ.150.suppl_1.4136273
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
4136273
引用
收藏
页数：2
相关论文
共 50 条
  • [1] A Machine Learning Approach to Identify Predictors of Mortality in Patients With Atherosclerotic Cardiovascular Disease
    Dikilitas, Ozan
    He Baosheng
    Kullo, Iftikhar
    CIRCULATION, 2018, 138
  • [2] Machine learning framework for atherosclerotic cardiovascular disease risk assessment
    Parya Esmaeili
    Neda Roshanravan
    Saeid Mousavi
    Samad Ghaffari
    Naimeh Mesri Alamdari
    Mohammad Asghari-Jafarabadi
    Journal of Diabetes & Metabolic Disorders, 2023, 22 : 423 - 430
  • [3] Machine learning framework for atherosclerotic cardiovascular disease risk assessment
    Esmaeili, Parya
    Roshanravan, Neda
    Mousavi, Saeid
    Ghaffari, Samad
    Alamdari, Naimeh Mesri
    Asghari-Jafarabadi, Mohammad
    JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2023, 22 (01) : 423 - 430
  • [4] Risk stratification of atherosclerotic cardiovascular disease in Chinese adults
    Yang XueLi
    Chen JiChun
    Li JianXin
    Cao Jie
    Lu XiangFeng
    Liu FangChao
    Hu DongSheng
    Liu XiaoQing
    Shen Chong
    Yu Ling
    Lu FangHong
    Wu XianPing
    Zhao LianCheng
    Huang JianFeng
    Li Ying
    Wu XiGui
    Gu DongFeng
    慢性疾病与转化医学（英文）, 2016, 2 (02) : 102 - 103-104-105-106-107-108-109
  • [5] Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients
    Sarraju, Ashish
    Ward, Andrew
    Chung, Sukyung
    Li, Jiang
    Scheinker, David
    Rodriguez, Fatima
    OPEN HEART, 2021, 8 (02):
  • [6] A Machine Learning Approach for Risk Prediction of Cardiovascular Disease
    Panda, Shovna
    Palei, Shantilata
    Samartha, Mullapudi Venkata Sai
    Jena, Biswajit
    Saxena, Sanjay
    COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II, 2024, 2010 : 313 - 323
  • [7] Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification
    Ghosh, Arnab K.
    Venkatraman, Sara
    Nanna, Michael G.
    Safford, Monika M.
    Colantonio, Lisandro D.
    Brown, Todd M.
    Pinheiro, Laura C.
    Peterson, Eric D.
    Navar, Ann Marie
    Sterling, Madeline R.
    Soroka, Orysya
    Nahid, Musarrat
    Banerjee, Samprit
    Goyal, Parag
    JAMA CARDIOLOGY, 2024, 9 (01) : 55 - 62
  • [8] Current trends in the use of machine learning for diagnostics and/or risk stratification in cardiovascular disease
    Maurovich-Horvat, Pal
    CARDIOVASCULAR RESEARCH, 2021, 117 (05) : E67 - E69
  • [9] Current Guideline Risk Stratification and Cardiovascular Outcomes in Chinese Patients Suffered From Atherosclerotic Cardiovascular Disease
    Li, Sha
    Liu, Hui-Hui
    Guo, Yuan-Lin
    Zhu, Cheng-Gang
    Wu, Na-Qiong
    Xu, Rui-Xia
    Dong, Qian
    Qian, Jie
    Dou, Ke-Fei
    Li, Jian-Jun
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [10] A MACHINE LEARNING APPROACH FOR THE IDENTIFICATION OF RISK FACTORS FOR CARDIOVASCULAR DISEASE
    Coelho, J. R.
    Gaspar, I. M.
    Silva, A. M.
    Freitas, A. T.
    CARDIOLOGY, 2013, 126 : 272 - 272
12345