This project is all about a Machine Learning based Medical Test web app which makes predictions about various diseases using the concept of machine learning.

Predict Diabetes using Machine Learning and deployment of machine learning model using Django.

The potential for the use of AI is dramatic especially as it can assist family clinicians who are usually overloaded with patients to make better choices for treatment of their type 2 patients in order to help prevent hyperglycemia, hypertension and CV risk outcomes.

Very simple widget that queries your nightscout API to display blood glucose.

An App that allow Diabetic people to keep track of their blood sugar level, meals, sport and help them calculating the insulin unit to assume.

It's a calculator for Carbohydrate Counting.

Regression Model to predict the estimated hospitalisation for a patient to test a new drug for Diabetes using EHR data

Consultoria y asesoramiento para personas con diabetes.

deployed model for diabetes

Decision aid tool to help healthcare professionals screen for complications in patients affected by Diabetes Mellitus Type 2

Simple web app for type-1 diabetics. Helps rotate injection sites and so minimise lipodystrophy.

Repository for the J J R Macleod

My First Deployment Project During Summer in College.

This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

Inventory / Stock monitoring for needles, lancets, test strips using Nightscout

Desarrollo de una calculadora de indicaciones en Cetoacidosis diabetica pediatrica

A specialized Semantic Container to handle diabetes data.