A Data-Driven Approach to 10-Year Coronary Heart Disease (CHD) Risk Assessment

A Data-Driven Approach to 10-Year Coronary Heart Disease (CHD) Risk Assessment

Date

2-13-2024

Faculty Mentor

Gaus Alam, Mathematics, Computing and Information Systems

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Submission Type

Conference Proceeding

Location

3:00-3:10pm | Houston Cole Library, 11th Floor

Description

Cardiovascular diseases remain a significant global health concern, with early prognosis playing an essential role in justifying associated risks. In this project, we explore the predictive factors associated with the 10-year risk of coronary heart disease (CHD) using a logistic regression model. Our dataset sourced from an ongoing cardiovascular study in Framingham, Massachusetts, comprising demographic, behavioral, and medical risk factors of over 4,000 individuals. The project involves cleansing the dataset, building the logistic regression model, and evaluating model comparisons to reveal key predictors contributing to CHD risk. The presentation will showcase the significance of these predictors and the methodology employed in achieving a reliable logistic regression model.

Keywords

student research, computing

Rights

This content is the property of Jacksonville State University and is intended for non-commercial use. Video and images may be copied for personal use, research, teaching or any "fair use" as defined by copyright law. Users are asked to acknowledge Jacksonville State University. For more information, please contact digitalcommons@jsu.edu.

Disciplines

Computer Sciences

A Data-Driven Approach to 10-Year Coronary Heart Disease (CHD) Risk Assessment

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