Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables

Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables

Cardiovascular disease (CVD) is one of the primary causes of death around the world. This study aimed to identify risk factors associated with CVD mortality using data from the National Health and Nutrition Examination Survey (NHANES). We created three models focusing on dietary data, non-diet-relat...

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Bibliographic Details
Main Authors: Agustin Martin-Morales, Masaki Yamamoto, Mai Inoue, Thien Vu, Research Dawadi, Michihiro Araki
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Nutrients
Subjects:
machine learning
cardiovascular disease
prediction model
nutrition
dietary features
SHAP
Online Access:https://www.mdpi.com/2072-6643/15/18/3937

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