Xcode project for iPhone app Endo Tools - An app for physicians / endocrinologists to do complex medical calculations and decisions with few clicks

For comparing and plotting various aspects of tweet data of different companies (handles) during a given period.

Guess my blood sugar

Diabetes Prediction using key features and using different machine learning model to see which one works best

python_project_2: What is the difference between peoples's race and gender with diabetes? Who is at a higher risk?

Web application built from flask, meant to be used by health centers or any other individual who wants to predict if he/she is at risk of getting diabetes

This scripts involves five major steps including GEO dataset download, data normalization, data manipulation, fetching phenodata and feature data and differentially expressed genes (DEGs) analysis using R and bioconductor packages.

Predicting Diabetes in a person based on characteristics like glucose level, number of pregnancies, BMI, etc. using certain Machine Learning techniques.

Boluswizard is a reference to the menu from the company Medtronic which made an insulin pump with the menu named Bolus Wizard. It is used to calculate the amount of insulin to give to a patient with Type 1 diabetes when supplied with the patients blood sugar, carbohydrate intake or both.

Aplicativo para controle e aprendizado em Diabetes Mellitus Tipo 1 voltado para crianças em início de tratamento

OpenAPS autotune history for myself

3D Visualization of my 2017 Diabetes Data

Diabetes melitus adalah penyakit kronis yang terjadi ketika pankreas tidak dapat menghasilkan hormon yang mengatur gula darah (insulin) dengan cukup, atau ketika tubuh tidak dapat menggunakan insulin yang dihasilkannya. Prevalensi diabetes meningkat lebih cepat di negara berpenghasilan menengah dan rendah. Diperkirakan 1,6 juta kematian akibat d…

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

Show machine learning data set is to predict diagnostically whether a patient has diabetes (Class 1) or does not represent a person with diabetes (Class 0), based on certain diagnostic measures as features included in the data set. The Pima Indians Diabetes dataset consists of several medical parameters of binary values 0 and 1.

This repository consists of files required to deploy a Web App created with Flask on Microsoft Azure.# diabetes_predictor The project helps the user to identify whether someone is suffering from diabetes by simply inputting certain values like BMI, Glucose level, Blood pressure etc. with the help of a Kaggle database.

Diabetes Classification with SVM and Random Forest Classifiers

Proxy for the unofficial API docs for LibreView.

Config files for my GitHub profile.

Personal Nightscout Implementation to monitor blood glucose remotely and work with OpenAPS