Xcode project for iPhone app Endo Tools - An app for physicians / endocrinologists to do complex medical calculations and decisions with few clicks
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Updated
Jun 4, 2022 - Objective-C
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.
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.
Diabetes Prediction
Machine Learning project
Personal research paper about ketogenic diet
Creating simple ANN with the help of Keras library for binary-classification
A large dataset for studying the early readmission of diabetic patients problem
This project aims to analyze diabetes data using data management, captivating visualizations, and cutting-edge machine learning techniques to predict the presence of diabetes in individuals. Our robust dataset includes comprehensive health exam results and family history.
A software tool that uses machine learning techniques to predict whether a person has diabetes based on their medical data.
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