학술논문

Comparison of Random Forest and Artificial Neural Network Models to Evaluate Diagnostic Factors in the Necessity to Perform Angiography.
Document Type
Article
Source
International Cardiovascular Research Journal; Jun2022, Vol. 16 Issue 2, p72-79, 8p
Subject
FASTING
AGE distribution
RANDOM forest algorithms
MEDICAL screening
ARTIFICIAL intelligence
BLOOD sugar
CORONARY angiography
SEX distribution
CORONARY artery disease
ARTIFICIAL neural networks
BODY mass index
SMOKING
SYMPTOMS
Language
ISSN
22519130
Abstract
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