Popular GitHub Repositories for Nutritional Epidemiology

Recognize bio-medical entities from a text corpus

BioDynaMo is a high-performance and modular, agent-based simulation platform.

Race and ethnicity Imputation from Disease history with Deep LEarning

Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.

?? This is a module to make specifics OCRs at food products and nutritional tables.

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

DietVision is a mobile app that provides an estimate of the nutritional content of a meal from images.

An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations

Food Scan AI revolutionizes nutrition management with its smart features: ? Scan food labels or cooked dishes for instant analysis, ? AI-powered insights into nutritional content, ? Real-time AI chat with scanned food context, ?? personalized dietary advice, and ? Daily intake tracking to monitor nutrients and calories effortlessly

Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.

MIRA: machine-assisted modeling of dynamical systems

?Artificial intelligence classify a food ? nutritional table by a simple photo. Don't eat ???...

An app for quick-adding nutritional data to Google Fit using LLMs

An End-to-end Machine Learning System with User Interface for predicting the 10-year risk of death of individuals from the NHANES I epidemiology dataset. This project leverages risk models (a.k.a. prognostic models) built using machine learning to perform predictions given the patient's medical profile.

An open-source visualization tool to help make multi-model seasonal influenza forecasts more actionable for decision-makers

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

The algorithm utilizes Generative AI and Natural Language Processing (NLP) to analyze the nutritional content of packaged food products. The system considers personalized health conditions, such as allergies and dietary needs, to provide tailored recommendations, helping individuals make safer and more informed food choices.

Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on state-of-the-art methods such as universal differential equations, epidemiology-informed deep learning methods.