Machine-learning algorithms for prediction of survival by stress echocardiography in chronic coronary syndromes

被引：0
|
作者：
Gaibazzi, N. [1 ]
Cortigiani, L. [2 ]
Ciampi, Q. [3 ]
Lorenzoni, G. [4 ]
Rigo, F. [5 ]
Gherardi, S. [6 ]
Bovenzi, F. [2 ]
Gregori, D. [4 ]
Picano, E. [7 ]
机构：
[1] Hosp Parma, Dept Cardiol, Parma, Italy
[2] San Luca Hosp, Cardiol, Lucca, Italy
[3] Fatebenefratelli Hosp Benevento, Cardiol, Benevento, Italy
[4] Univ Padua, Biostat Epidemiol & Publ Hlth Unit, Padua, Italy
[5] Villa Salus Hosp, Div Cardiol, Venice, Italy
[6] Cesena Hosp, Cardiol, Cesena, Italy
[7] CNR, Biomed Dept, Pisa, Italy
来源：
EUROPEAN HEART JOURNAL | 2022年 / 43卷
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：
引用
收藏
页码：79 / 79
页数：1
相关论文
共 50 条
  • [31] Prediction of 24-Hour Urinary Sodium Excretion Using Machine-Learning Algorithms
    Hamaya, Rikuta
    Wang, Molin
    Juraschek, Stephen P.
    Mukamal, Kenneth J.
    Manson, JoAnn E.
    Tobias, Deirdre K.
    Sun, Qi
    Curhan, Gary C.
    Willett, Walter C.
    Rimm, Eric B.
    Cook, Nancy R.
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2024, 13 (10):
  • [32] On User-Centric Modular QoE Prediction for VoIP Based on Machine-Learning Algorithms
    Charonyktakis, Paulos
    Plakia, Maria
    Tsamardinos, Ioannis
    Papadopouli, Maria
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2016, 15 (06) : 1443 - 1456
  • [33] Super learner machine-learning algorithms for compressive strength prediction of high performance concrete
    Lee, Seunghye
    Ngoc-Hien Nguyen
    Karamanli, Armagan
    Lee, Jaehong
    Vo, Thuc P.
    STRUCTURAL CONCRETE, 2023, 24 (02) : 2208 - 2228
  • [34] Shear performance prediction for corrugated steel web girders based on machine-learning algorithms
    Liu, Yong
    Ji, Wei
    Li, Jieqi
    Liu, Shibo
    Yang, Wenjuan
    THIN-WALLED STRUCTURES, 2025, 206
  • [35] Prediction of State-to-State Dissociation Rate Coefficients Using Machine-Learning Algorithms
    Maksudova, Z. M.
    Savelev, A. S.
    Kustova, E. V.
    VESTNIK ST PETERSBURG UNIVERSITY-MATHEMATICS, 2024, 57 (04) : 584 - 592
  • [36] High blood pressure prediction based on AAA++ using machine-learning algorithms
    Nimmala, Satyanarayana
    Ramadevi, Y.
    Sahith, R.
    Cheruku, Ramalingaswamy
    COGENT ENGINEERING, 2018, 5 (01): : 1 - 12
  • [37] Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms
    Xiangmei Liu
    Shuai Jin
    Dan Zi
    Scientific Reports, 13
  • [38] Machine-Learning Algorithms in the Service Life Prediction of Facility Management: Approach in Southern Chile
    Mendoza, M.
    Torres-Gonzalez, M.
    Prieto, A. J.
    JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES, 2024, 38 (02)
  • [39] Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms
    Liu, Xiangmei
    Jin, Shuai
    Zi, Dan
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [40] Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models
    Ceccarelli, Fulvia
    Sciandrone, Marco
    Perricone, Carlo
    Galvan, Giulio
    Morelli, Francesco
    Vicente, Luis Nunes
    Leccese, Ilaria
    Massaro, Laura
    Cipriano, Enrica
    Spinelli, Francesca Romana
    Alessandri, Cristiano
    Valesini, Guido
    Conti, Fabrizio
    PLOS ONE, 2017, 12 (03):
12345