https://github.com/projects-developer/diabetes-prediction-system-using-machine-learning
This project utilizes machine learning algorithms to predict the likelihood of diabetes based on various risk factors. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/diabetes-prediction-system-using-machine-learning
aiinhealthcare btechprojects computersciecnceprojects diabetesmanagement diabetesprediction diseaseprevention earlydetection healthcareanalytics machinelearning machinelearningforhealthcare mtechprojects personalizedmedicine
Last synced: 4 months ago
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This project utilizes machine learning algorithms to predict the likelihood of diabetes based on various risk factors. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
- Host: GitHub
- URL: https://github.com/projects-developer/diabetes-prediction-system-using-machine-learning
- Owner: Projects-Developer
- Created: 2024-12-23T10:46:54.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-18T12:24:42.000Z (5 months ago)
- Last Synced: 2025-01-18T13:38:39.593Z (5 months ago)
- Topics: aiinhealthcare, btechprojects, computersciecnceprojects, diabetesmanagement, diabetesprediction, diseaseprevention, earlydetection, healthcareanalytics, machinelearning, machinelearningforhealthcare, mtechprojects, personalizedmedicine
- Homepage: https://www.finalproject.in/
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Diabetes prediction system using machinelearning
Diabetes prediction system using machine learning Code, Document And Vidoe Tutorial
## Youtube link: https://youtu.be/39PUAvOknxw?si=2tbBOF8xOQZYyG_Q
## Abstract:
Diabetes is a chronic disease that affects millions of people worldwide. Early detection and prevention are crucial to manage the disease effectively. This study proposes a machine learning-based diabetes prediction system that uses a combination of physiological and lifestyle factors to predict the likelihood of diabetes. The system utilizes supervised learning algorithms to analyze a dataset of patient characteristics and identifies high-risk individuals. The results show that the proposed system achieves high accuracy and precision in predicting diabetes, making it a valuable tool for early detection and prevention. The system can be used by healthcare professionals to identify high-risk patients and provide personalized recommendations for prevention and management."Keywords:
Diabetes Prediction, Machine Learning, Supervised Learning, Healthcare Analytics, Disease Prevention, Early Detection, Personalized Medicine, Predictive Modeling.### 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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