A Comparison of Machine Learning Techniques in Predicting 10-year Risk of Coronary Heart Disease.
Dublin Core
Title
A Comparison of Machine Learning Techniques in Predicting 10-year Risk of Coronary Heart Disease.
Subject
Keywords: Coronary Heart disease, Model building, 10-year risk prediction of heart disease, Machine learning techniques.
Description
This study uses different supervised machine learning techniques to build models to predict the ten-year risk of coronary heart disease. It also compares the models to identify which has the highest prediction accuracy and the least test error rate.
Creator
Adeola Mary Olaniyan
Contributor
No contributors
Format
PDF
Language
English
Type
Heart study; Model Building, Risk prediction.
Collection Items
A Comparison of Machine Learning Techniques in Predicting 10-year Risk of Coronary Heart Disease.
This study uses different supervised machine learning techniques to build models to predict the ten-year risk of coronary heart disease. It also compares the models to identify the model with the highest prediction accuracy and the least test error…
A Comparison of Machine Learning Techniques in Predicting 10-year Risk of Coronary Heart Disease
This study uses different supervised machine learning techniques to build models to predict the 10-year risk of Coronary heart disease using the Framingham heart study dataset. It compares, identifies, and selects the model with the highest…