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
  • [1] Machine Learning Algorithms for Prediction of Survival by Stress Echocardiography in Chronic Coronary Syndromes
    Cortigiani, Lauro
    Azzolina, Danila
    Ciampi, Quirino
    Lorenzoni, Giulia
    Gaibazzi, Nicola
    Rigo, Fausto
    Gherardi, Sonia
    Bovenzi, Francesco
    Gregori, Dario
    Picano, Eugenio
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (09):
  • [2] A machine-learning approach to the prediction of oxidative stress in chronic inflammatory disease
    de la Villehuchet, A. Magon
    Brack, M.
    Dreyfus, G.
    Oussar, Y.
    Bonnefont-Rousselot, D.
    Chapman, M. J.
    Kontush, A.
    REDOX REPORT, 2009, 14 (01) : 23 - 33
  • [3] Left atrial volume stress echocardiography in chronic coronary syndromes
    Morrone, D.
    Arbucci, R.
    Wierzbowska-Drabik, K.
    Ciampi, Q.
    Peteiro, J.
    Agoston, G.
    Varga, A.
    Camorazano, A. C.
    Boshchenko, A.
    Dekleva, M.
    Simova, I
    Citro, R.
    Colonna, R.
    Lowenstein, J.
    Picano, E.
    EUROPEAN HEART JOURNAL, 2020, 41 : 14 - 14
  • [4] Prediction of brain maturity in infants using machine-learning algorithms
    Smyser, Christopher D.
    Dosenbach, Nico U. F.
    Smyser, Tara A.
    Snyder, Abraham Z.
    Rogers, Cynthia E.
    Inder, Terrie E.
    Schlaggar, Bradley L.
    Neil, Jeffrey J.
    NEUROIMAGE, 2016, 136 : 1 - 9
  • [5] Simulated playground for evaluating machine-learning algorithms for bioactivity prediction
    Thompson, Jared
    Schrodl, Stefan
    Mysinger, Michael
    Wallach, Izhar
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 256
  • [6] New machine-learning algorithms for prediction of Parkinson's disease
    Mandal, Indrajit
    Sairam, N.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2014, 45 (03) : 647 - 666
  • [7] Multiple Phenotypes of Chronic Coronary Syndromes Identified by ABCDE Stress Echocardiography
    Gaibazzi, Nicola
    Ciampi, Quirino
    Cortigiani, Lauro
    Wierzbowska-Drabik, Karina
    Zagatina, Angela
    Djordjevic-Dikic, Ana
    Manganelli, Fiore
    Boshchenko, Alla
    Borguezan-Daros, Clarissa
    Arbucci, Rosina
    Marconi, Sofia
    Lowenstein, Jorge
    Haberka, Maciej
    Celutkiene, Jelena
    D'Andrea, Antonello
    Rodriguez-Zanella, Hugo
    Rigo, Fausto
    Monte, Ines
    Costantino, Marco Fabio
    Ostojic, Miodrag
    Merli, Elisa
    Pepi, Mauro
    Carerj, Scipione
    Kasprzak, Jaroslaw D.
    Pellikka, Patricia A.
    Picano, Eugenio
    JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, 2024, 37 (05) : 477 - 485
  • [8] Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome
    Molenaar, Mitchel A.
    Bouma, Berto J.
    Asselbergs, Folkert W.
    Verouden, Niels J.
    Selder, Jasper L.
    Chamuleau, Steven A. J.
    Schuuring, Mark J.
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2024, 5 (02): : 170 - 182
  • [9] Machine-learning Algorithms for Ischemic Heart Disease Prediction: A Systematic Review
    Hani, Salam H. Bani
    Ahmad, Muayyad M.
    CURRENT CARDIOLOGY REVIEWS, 2023, 19 (01) : 87 - 99
  • [10] Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms
    Li, Yue
    Shi, Junjie
    Shen, Jiale
    Jin, Kaikai
    Fan, Mengtian
    Liu, Xiaolong
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2024, 38 (06)
12345