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This repository contains code for building a K-Nearest Neighbors (KNN) model to predict diabetes based on patient data. Includes data cleaning, hyperparameter tuning, and evaluation metrics.
CNN system analyzes retinal images & provides instant diagnoses, improving accuracy & reliability. The platform features a user-friendly interface implemented with Flask, allowing easy accessibility for users to upload images & to receive results.
A Python-based system to predict diabetes using Machine Learning with Support Vector Machine (SVM). Includes data preprocessing, model training, and evaluation to achieve high prediction accuracy.
An open-source software platform for managing diabetes using a closed-loop insulin delivery system. The platform uses machine learning algorithms and continuous glucose monitoring to automatically adjust insulin dosing, improving glycemic control and reducing the risk of hypoglycemia.