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.

Privacy-first personal health journal with experimental AI features. Track medications, journal symptoms, and explore on-device ML (for educational purposes)

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.

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

ClinicCare é um sistema de gestão para clínicas e consultórios, com agendamento, prontuários eletrônicos, controle financeiro e relatórios interativos. Desenvolvido com Dash e Plotly, possui interface responsiva, validações avançadas e foco em eficiência e segurança.

Data analysis focusing on health problems

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

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

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

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.

A complete data mining project proposal and methodological blueprint for predicting the link between hypertension and psychopathologies in geriatric care, following the CRISP-DM framework.

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

FHIR server that transforms QuestionnaireResponses to OHDSI OMOP CDM.

An end-to-end data science project in Python to identify diabetes risk profiles through EDA, advanced feature engineering, and K-Means clustering, preparing a dataset for Tableau visualization.

Predict a patients health with his medical report

Different studies focused on digital health care

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