This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

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.

Predictive Analytics Portfolio Project : Case Study of Diabetes Prediction!

Swin Transformer + Inception-ResNet = Improved Performance ✨ Evaluated on a Retinal OCT dataset.

Android/iOS app for Diabetes monitoring and prediction. (UI-based features & Predictive Analysis using Deep Learning)

Data Analytics projects

Research work on Diabetes Prediction using Machine Learning

Project to identify the most relevant risk factors and predict individuals with diabetes.

In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.

This project helps to predict the diabetes of a patient by analysing their no.of pregnencies, glucose level, Blood pressure, Skin thickness, Insulin, Body mass index, Diabetes pedigree function and age of the patient. I have trained the data using RandomForestClassifier and also I have integrated it with a webpage using STREAMLIT.

This repository contains Python code for performing diabetes classification using two machine learning algorithms: K-Nearest Neighbors (KNN) and Logistic Regression. The code also includes a comparison of the models' performance.

Diabetes prediction using KNN-Classifier algorithm. Step by step guided notebook

A software tool that uses machine learning techniques to predict whether a person has diabetes based on their medical data.

Predicting Diabetes using multiple machine learning algorithms and find out which has the most predictive ablility for this dataset.

Linear Regression using Matlab on a Kaggle dataset.

Analysis of self-care/ lifestyle habits and their relation with diabetes diagnosis explored. Final visualisation on Tableau public.

Preprocecssing of Team Novo Nordisk (TNN) cycling and diabetes data

The diabetes-cbr program is a simulation of a case-based reasoning system for diabetes management.

🔨 [UNDER DEVELOPMENT] A broad intro into scientific and mathematical computations in Python for data analysis, with recipes and short tutorials. Specific interests in pathophsyiology, comp bio, expression analysis, ethnography, clinical data, and GIS (for disparities research). Curated by @milodubois.

Analysis of Team Novo Nordisk (TNN) cycling and diabetes data