The swiss army knife for discharge abstract database (DAD).

MortalityMinder: an R-based, multi-view interactive presentation examining county-level factors associated with midlife mortality trends.

Patient Reported Information Multidimensional Exploration (PRIME) is an automated platform to investigate Online Support Group (a.k.a. health forums, online health groups) discussions for investigation of individualised patient behaviours and patient information, over time.

Milestone 2 project - Electronic Health Record Analysis and ICD Code Prediction

The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.

Data analysis focusing on health problems

Machine learning project to predict obesity risk levels based on lifestyle and demographic data. This project utilizes advanced algorithms like CatBoost, LightGBM, and more to classify individuals into different obesity categories

Interactive epidemiological dashboard visualizing disease trends across Kenya. Built with PHP, Chart.js, and Leaflet for the CEMA Software Engineering Internship.

The app helps to analyze correlation between various weather parameters and symmetry of electrocardiographic T-wave

Developed a machine learning model for diabetes prediction, using patient data to provide early risk assessments and improve healthcare outcomes.

Ultra-Processed Foods Analysis using Machine Learning to uncover nutritional patterns and hidden associations for health insights.

Mini Case Study is from Danny Ma's 8 Week SQL Challenge

This project predicts the likelihood of cardiovascular disease based on patient health data.

FHIR server that transforms QuestionnaireResponses to OHDSI OMOP CDM.

A SAS analysis project on cardiovascular disease data

This project aims to predict the likelihood of a patient having diabetes based on health parameters.

Many institutions recognize the importance of athletes' behaviors across the 24-hour cycle, leading to increased monitoring on and off the field. Institutions often turn to consumer-grade activity monitors that allow for continuous tracking. This repository provides the user with valuable experience for analyzing data from such devices

Data analysis of concerning prevalence of heart disease and stroke given various health variables, such as Age, Smoking habits, Weight, among others.

Predict a patients health with his medical report

Different studies focused on digital health care