학술논문

Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors.
Document Type
Article
Source
Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 7, p4119, 23p
Subject
MACHINE learning
GENERATIVE adversarial networks
CARDIOVASCULAR diseases
DISEASE risk factors
NOMOGRAPHY (Mathematics)
PREDICTION models
Language
ISSN
20763417
Abstract
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