Mapping the landscape of heart failure - lessons learnt using machine learning

被引:0
|
作者
Jasinska-Piadlo, A. [1 ,2 ]
Bond, R. [2 ]
Biglarbeigi, P. [2 ]
Mceneaney, D. [3 ]
Donnelly, E. [3 ]
Patton, C. [3 ]
Ross, C. [4 ]
Finley, D. [2 ]
Campbell, P. [3 ]
机构
[1] Craigavon Area Hosp, Cardiovasc Res Dept, Southern Hlth & Social Care Trust, Craigavon, North Ireland
[2] Ulster Univ, Fac Comp Engn & Built Environm, Belfast, Antrim, North Ireland
[3] Southern Hlth & Social Care Trust, Cardiol Dept, Craigavon, North Ireland
[4] Napier Univ, Ctr Cardiovasc Res, Sch Hlth & Social Care, Edinburgh, Midlothian, Scotland
关键词
D O I
10.1136/heartjnl-2023-ICS.28
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
28
引用
收藏
页码:A31 / A33
页数:3
相关论文
共 50 条
  • [21] Classification of Heart Failure Using Machine Learning: A Comparative Study
    Chulde-Fernandez, Bryan
    Enriquez-Ortega, Denisse
    Guevara, Cesar
    Navas, Paulo
    Tirado-Espin, Andres
    Vizcaino-Imacana, Paulina
    Villalba-Meneses, Fernando
    Cadena-Morejon, Carolina
    Almeida-Galarraga, Diego
    Acosta-Vargas, Patricia
    LIFE-BASEL, 2025, 15 (03):
  • [22] The win ratio method in heart failure trials: lessons learnt from EMPULSE
    Pocock, Stuart J.
    Ferreira, Joao Pedro
    Collier, Timothy J.
    Angermann, Christiane E.
    Biegus, Jan
    Collins, Sean P.
    Kosiborod, Mikhail
    Nassif, Michael E.
    Ponikowski, Piotr
    Psotka, Mitchell A.
    Teerlink, John R.
    Tromp, Jasper
    Gregson, John
    Blatchford, Jonathan P.
    Zeller, Cordula
    Voors, Adriaan A.
    EUROPEAN JOURNAL OF HEART FAILURE, 2023, 25 (05) : 632 - 641
  • [23] LESSONS TO BE LEARNT FROM AN EMBANKMENT FAILURE
    FINLAYSON, DM
    GREENWOOD, JR
    COOPER, CG
    SIMONS, NE
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS PART 1-DESIGN AND CONSTRUCTION, 1984, 76 (FEB): : 207 - 220
  • [24] Machine learning: at the heart of failure diagnosis
    Sanders, William E., Jr.
    Burton, Tim
    Khosousi, Ali
    Ramchandani, Shyam
    CURRENT OPINION IN CARDIOLOGY, 2021, 36 (02) : 227 - 233
  • [25] Machine learning in the prevention of heart failure
    Hamid, Arsalan
    Segar, Matthew W.
    Bozkurt, Biykem
    Santos-Gallego, Carlos
    Nambi, Vijay
    Butler, Javed
    Hall, Michael E.
    Fudim, Marat
    HEART FAILURE REVIEWS, 2025, 30 (01) : 117 - 129
  • [26] Clustering of Heart Failure Phenotypes in Johannesburg Using Unsupervised Machine Learning
    Mpanya, Dineo
    Celik, Turgay
    Klug, Eric
    Ntsinjana, Hopewell
    APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [27] Anemia management in chronic heart failure: Lessons learnt from chronic kidney disease
    Besarab, A
    Soman, S
    KIDNEY & BLOOD PRESSURE RESEARCH, 2005, 28 (5-6): : 363 - 371
  • [28] Prediction Model Using Machine Learning for Mortality in Patients with Heart Failure
    Negassa, Abdissa
    Ahmed, Selim
    Zolty, Ronald
    Patel, Snehal R.
    AMERICAN JOURNAL OF CARDIOLOGY, 2021, 153 : 86 - 93
  • [29] Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning
    Gosal, A. S.
    Ziv, G.
    ECOLOGICAL INDICATORS, 2020, 117
  • [30] Early Prediction of Inpatient Worsening Heart Failure Using Machine Learning
    Gangavelli, Apoorva
    Steinberg, Rebecca
    Olakunle, Oreoluwa
    Okoh, Alexis
    Wang, Jeffrey
    CIRCULATION, 2024, 150