Machine learning-based in-hospital mortality prediction models for patients with acute coronary syndrome
Author:
Publisher
Elsevier BV
Subject
Emergency Medicine,General Medicine
Reference59 articles.
1. ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: The Task Force for the management of acute coronary syndromes (ACS) in patients presenting without persistent ST-segment elevation of the European Society of Cardiology (ESC)
2. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation
3. 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation
4. The health care burden of acute chest pain;Goodacre;Heart (British Cardiac Society),2005
5. 2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: executive summary: a report of the American College of Cardiology/American Heart Association task force on practice guidelines;Amsterdam;Circulation,2014
Cited by 9 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. Machine Learning Models for ASCVD Risk Prediction in an Asian Population - How to Validate the Model is Important;ACTA CARDIOL SIN;2023
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. A Voting Ensemble-based Model to Predict the Risk of Cardiovascular Disease in Ordinary People;Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications;2023-06-17
4. Machine learning-based models to predict one-year mortality among Chinese older patients with coronary artery disease combined with impaired glucose tolerance or diabetes mellitus;Cardiovascular Diabetology;2023-06-14
5. Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy;World Journal of Gastroenterology;2022-12-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3