NhanPhamThanh-IT/SVM-Diabetes-Prediction
🩺 Machine Learning diabetes prediction model using Support Vector Machine (SVM) classifier. Analyzes 8 medical features (glucose, BMI, age, etc.) from Pima Indian dataset to predict diabetes risk with 75-80% accuracy. Built with Python, scikit-learn, pandas. Includes data preprocessing, model training, and prediction system for diabetes..
ArchivedNo commits in the last 6 months.
Stars
15
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 25, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NhanPhamThanh-IT/SVM-Diabetes-Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Aditya-Mankar/Diabetes-Prediction
Predict Diabetes using Machine Learning.
replicahealth/GluPredKit
GluPredKit aims to make blood glucose model training and prediction more accessible.
oladimeji-kazeem/diabetes-detection-using-ai
This repository contains code and resources for detecting diabetes using artificial intelligence...
yixiangD/AccurateBG
Patient-specific blood glucose prediction using deep learning, considering the challenges of...
Dragsters/Nutrihelp
An android application to predict risks of getting Diabetes like major health issues.