Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study-Reference-Cited by-同舟云学术

Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study

Published:2023-06 Issue:6 Volume:5 Page:e370-e379
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Banerjee Amitava,Dashtban Ashkan,Chen Suliang,Pasea Laura,Thygesen Johan H,Fatemifar Ghazaleh,Tyl Benoit,Dyszynski Tomasz,Asselbergs Folkert W,Lund Lars H,Lumbers Tom,Denaxas Spiros,Hemingway Harry

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference29 articles.

1. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

2. Differential association of genetic risk of coronary artery disease with development of heart failure with reduced versus preserved ejection fraction;Mordi;Circulation,2019

3. The future of clinical trials in cardiovascular medicine;Solomon;Circulation,2016

4. Genetic variants in SGLT1, glucose tolerance, and cardiometabolic risk;Seidelmann;J Am Coll Cardiol,2018

5. 2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DNA methylation in cardiovascular disease and heart failure: novel prediction models?;Clinical Epigenetics;2024-08-22

2. Profiling heart failure with preserved or mildly reduced ejection fraction by cluster analysis;European Heart Journal - Quality of Care and Clinical Outcomes;2024-08-08

3. Heart Failure Drug Development Over the Eras;JACC: Heart Failure;2024-07

4. Artificial Intelligence for Cardiovascular Care—Part 1: Advances;Journal of the American College of Cardiology;2024-06

5. Polygenic risk scores in atrial fibrillation: Associations and clinical utility in disease prediction;Heart Rhythm;2024-06