An artificial intelligence approach to early predict non-ST-elevation myocardial infarction patients with chest pain
Author:
Funder
Ministry of Education
Ministry of Health and Welfare
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference22 articles.
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2. A national study of the prevalence of life-threatening diagnoses in patients with chest pain;Hsia;JAMA Internal Med.,2016
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4. Comparing HEART, TIMI, and GRACE scores for prediction of 30-day major adverse cardiac events in high acuity chest pain patients in the emergency department;Sakamoto;Int. J. Cardiol.,2016
5. The relationships of left ventricular ejection fraction, end-systolic volume index and infarct size to six-month mortality after hospital discharge following myocardial infarction treated by thrombolysis;Burns;J. Am. College Cardiol.,2002
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