Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: A machine learning approach-Reference-Cited by-同舟云学术

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Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: A machine learning approach

Published:2021 Issue: Volume:27 Page:100791
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Vázquez Blanca^ORCID,Fuentes-Pineda Gibran^ORCID,García Fabian^ORCID,Borrayo Gabriela,Prohías Juan

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

Health Informatics

Reference40 articles.

1. Hospital mortality in 415 798 AMI patients: 4 years earlier in the canary islands than in the rest of Spain;Mate Redondo;Rev Española Cardiol (English Ed),2019

2. Acute Myocardial Infarction ST Elevation (STEMI);Foth,2019

3. Acute myocardial infarction;Mechanic,2021

4. Understanding myocardial infarction;Saleh,2018

5. Sex differences in cardiac arrhythmia;Linde;EP Europace,2018

Cited by 3 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. A review of evaluation approaches for explainable AI with applications in cardiology;Artificial Intelligence Review;2024-08-09

2. The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis;European Journal of Medical Research;2023-10-20

3. Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach;BMC Infectious Diseases;2023-01-11

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