Development and Validation of Machine Learning-based Ischemic Outcome Prediction Using Clinical and Genetic Data in Patients with Percutaneous Coronary Intervention

被引:0
|
作者
Grant, Caroline
Kowlgi, Gurukripa
Lennon, Ryan
Cavallari, Larisa
Lee, Craig
Beitelshees, Amber
Angiolillo, Dominick
Franchi, Francesco
Duarte, Julio
Rossi, Joe
Stouffer, George
Klee, Eric
Gulati, Rajiv
Lerman, Amir
Rihal, Charanjit
Farkouh, Michael
Athreya, Arjun
Pereira, Naveen
机构
关键词
D O I
10.1161/circ.150.suppl_1.4146352
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
4146352
引用
收藏
页数:3
相关论文
共 50 条
  • [1] Machine learning-based long-term outcome prediction in patients undergoing percutaneous coronary intervention
    Liu, Shangyu
    Yang, Shengwen
    Xing, Anlu
    Zheng, Lihui
    Shen, Lishui
    Tu, Bin
    Yao, Yan
    CARDIOVASCULAR DIAGNOSIS AND THERAPY, 2021, 11 (03) : 736 - 743
  • [2] MACHINE LEARNING-BASED CARDIOVASCULAR EVENT PREDICTION FOR PERCUTANEOUS CORONARY INTERVENTION
    Zhou, Yijiang
    Zhu, Ruoyu
    Chen, Xiaojun
    Xu, Xiaolei
    Wang, Qiwen
    Jiang, Liujun
    Zhu, Jianhua
    Wu, Jian
    Yan, Hui
    Zhang, Li
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 73 (09) : 127 - 127
  • [3] Validation of machine learning-based risk stratification scores for patients with acute coronary syndrome treated with percutaneous coronary intervention
    Molenaar, Mitchel A.
    Selder, Jasper L.
    Schmidt, Amand F.
    Asselbergs, Folkert W.
    Nieuwendijk, Jelle D.
    van Dalfsen, Brigitte
    Schuuring, Mark J.
    Bouma, Berto J.
    Chamuleau, Steven A. J.
    Verouden, Niels J.
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2024, 5 (06): : 702 - 711
  • [4] From marginal gains to clinical utility: machine learning-based percutaneous coronary intervention risk prediction models
    Qadir, Muhammad Ibtsaam
    Hira, Ravi S.
    Kolbinger, Fiona R.
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2025, 6 (02): : 159 - 161
  • [5] Baseline Clinical and Genetic Data Based Machine Learning Predictions of 1-Year Ischemic Outcomes Following Percutaneous Coronary Intervention
    Grant, Caroline
    Raina, Anvi
    Lennon, Ryan
    Goodman, Shaun G.
    Gulati, Rajiv
    Lerman, Amir
    Rosenberg, Yves
    So, Derek
    Farkouh, Michael E.
    Athreya, Arjun
    Pereira, Naveen L.
    CIRCULATION, 2021, 144
  • [6] Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention
    Liu, Yanxu
    Du, Linqin
    Li, Lan
    Xiong, Lijuan
    Luo, Hao
    Kwaku, Eugene
    Mei, Xue
    Wen, Cong
    Cui, Yang Yang
    Zhou, Yang
    Zeng, Lang
    Li, Shikang
    Wang, Kun
    Zheng, Jiankang
    Liu, Zonglian
    Hu, Houxiang
    Yue, Rongchuan
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [7] Machine learning-based clinical outcome prediction in surgery for acromegaly
    Zanier, Olivier
    Zoli, Matteo
    Staartjes, Victor E.
    Guaraldi, Federica
    Asioli, Sofia
    Rustici, Arianna
    Picciola, Valentino Marino
    Pasquini, Ernesto
    Faustini-Fustini, Marco
    Erlic, Zoran
    Regli, Luca
    Mazzatenta, Diego
    Serra, Carlo
    ENDOCRINE, 2022, 75 (02) : 508 - 515
  • [8] Machine learning-based clinical outcome prediction in surgery for acromegaly
    Olivier Zanier
    Matteo Zoli
    Victor E. Staartjes
    Federica Guaraldi
    Sofia Asioli
    Arianna Rustici
    Valentino Marino Picciola
    Ernesto Pasquini
    Marco Faustini-Fustini
    Zoran Erlic
    Luca Regli
    Diego Mazzatenta
    Carlo Serra
    Endocrine, 2022, 75 : 508 - 515
  • [9] MACHINE LEARNING-BASED PREDICTION OF ICU COMPLICATIONS USING MEDICATION DATA: A VALIDATION STUDY
    Smith, Susan
    Zhao, Bokai
    Deng, Shiyuan
    Hu, Mengxuan
    Zhang, Tianyi
    Kong, Yanlei
    Shen, Ye
    Li, Sheng
    Murphy, David
    Murray, Brian
    Kamaleswaran, Rishikesan
    Chen, Xianyan
    Devlin, John
    Sikora, Andrea
    CRITICAL CARE MEDICINE, 2025, 53 (01)
  • [10] Development and internal validation of machine learning-based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke
    Axford, Daniel
    Sohel, Ferdous
    Abedi, Vida
    Zhu, Ye
    Zand, Ramin
    Barkoudah, Ebrahim
    Krupica, Troy
    Iheasirim, Kingsley
    Sharma, Umesh M.
    Dugani, Sagar B.
    Takahashi, Paul Y.
    Bhagra, Sumit
    Murad, Mohammad H.
    Saposnik, Gustavo
    Yousufuddin, Mohammed
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2024, 5 (02): : 109 - 122