Shifting Trends and Persistent Challenges in Heart Disease Over the Last 25 Years
收藏DataCite Commons2025-04-01 更新2025-04-16 收录
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https://data.mendeley.com/datasets/8knm2zvkyc
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资源简介：
Heart disease remains one of the leading causes of mortality worldwide. Accurate prediction of effective treatment outcomes can significantly improve patient care and reduce healthcare costs. This document outlines a comprehensive approach to developing a heart disease treatment prediction model using machine learning techniques.
Objectives
Develop a predictive model to forecast treatment outcomes for heart disease patients.
Identify key factors influencing treatment success.
Improve personalized treatment plans based on predictive insights.
提供机构：
Mendeley Data
创建时间：
2024-07-19
