https://github.com/projects-developer/heart-disease-prediction-using-machine-learning
A predictive analytics project leveraging machine learning algorithms to forecast the likelihood of heart disease in patients. Heart Disease Prediction Using Machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/heart-disease-prediction-using-machine-learning
btechprojects classificationalgorithms computer-science-projects computerscienceprojects datamining featureengineering final-year-projects finalyearprojects healthcare heartdiseaseprediction machinelearning medicaldiagnosis modelevaluation mtechprojects predictiveanalytics riskassessment
Last synced: 4 months ago
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A predictive analytics project leveraging machine learning algorithms to forecast the likelihood of heart disease in patients. Heart Disease Prediction Using Machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
- Host: GitHub
- URL: https://github.com/projects-developer/heart-disease-prediction-using-machine-learning
- Owner: Projects-Developer
- Created: 2024-12-28T07:23:25.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-18T11:55:10.000Z (5 months ago)
- Last Synced: 2025-01-18T12:32:03.774Z (5 months ago)
- Topics: btechprojects, classificationalgorithms, computer-science-projects, computerscienceprojects, datamining, featureengineering, final-year-projects, finalyearprojects, healthcare, heartdiseaseprediction, machinelearning, medicaldiagnosis, modelevaluation, mtechprojects, predictiveanalytics, riskassessment
- Homepage: https://www.finalproject.in/
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Heart Disease Prediction Using Machine Learning
Heart Disease Prediction Using Machine Learning Code, Document And Video Tutorial
## Youtube link: https://youtu.be/b0z32XjpMJ4?si=ab3F-vqnPPdXTxq2
## 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
### Need Code, Documents & Explanation video ?
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