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Heart Disease Prediction Using Machine Learning

Heart Disease Prediction Using Machine Learning Code, Document And Video Tutorial

Heart Health

Abstract

This project presents a machine learning-based approach for predicting the likelihood of heart disease in patients. Utilizing a dataset of patient characteristics, medical history, and lifestyle factors, we train and evaluate multiple machine learning models to identify the most accurate predictor of heart disease. Our results demonstrate the potential of machine learning algorithms in providing early warnings for heart disease, enabling timely interventions and improved patient outcomes.

Keywords Heart Disease Prediction, Machine Learning, Predictive Analytics, Healthcare, Medical Diagnosis, Risk Assessment, Data Mining, Classification Algorithms, Feature Engineering, Model Evaluation.

Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

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