An R package implementing Principal Component Pursuit for pattern recognition in environmental health.
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Updated
Apr 2, 2025 - R
An R package implementing Principal Component Pursuit for pattern recognition in environmental health.
Data Analysis Training for Environmental Health Research
🌼 Collection of materials to accompany the R25 funded "Data Science for Environmental Health" short course
Time series forecasting of seasonal water quality using Auto ARIMA, SARIMA, and VAR models. Predicts CCME Water Quality Index (WQI) using physicochemical parameters to assess potability across seasons.
UC Berkeley ESPM C167 Spring 2021
Free Excel tool for HHSRS v2 scoring. Calculates housing hazard risk bands based on 2026 guidance.
AI-powered environmental health risk detection system using CNN image analysis and RAG-based health guidance.
A working group for health practitioners looking to contribute their expertise, take action, & solve the climate change program.
Evergreen Apache 2.0 EHS console: incidents, CAPA, audits, and evidence in PostgreSQL—self-hostable, RBAC-gated, human-in-the-loop AI optional. Username: demo.admin@example.com, Password: demo-admin-password-change-me
End-to-end analysis of global PM2.5 air pollution and air-pollution-attributable mortality using WHO data, with interactive Power BI dashboards and Python-based EDA.
Multi-temporal environmental health exposure assessment for Khordha and Cuttack districts, Odisha. Sentinel-2 LULC, PCA-weighted composite index (heat, green access, blue proximity, air quality, industrial exposure), spatial statistics, scenario-based green-blue intervention modelling, and ML-driven urban typologies.
BreathySync is an AI-powered respiratory health platform that uses 6-second voice samples to generate lung metrics, predicts risks 24–48 hours ahead with a Digital Twin model, and integrates air quality tracking, sleep monitoring, Lung Gym, and ABHA support.
Hypothesis Intrinsic Autism and Immune-Mediated Neurodevelopmental Disorders
AI-Enabled-AQI-HealthPredictor is an initiative to translate environmental data into meaningful health predictions. By connecting AQI data to health risk modelling, the tool bridges a gap between raw environmental metrics and actionable insights for decision-makers or end-users.
Étude exploratoire du lien entre les décès hebdomadaires et la chaleur observée (i.e. températures estivales) à Montréal et Laval.
The archive for data, scripts, and outputs for the paper "Exposure to antibacterial chemicals is associated with altered composition of oral bacteria; the RHINESSA study, Bergen, Norway".
Zephyr is an environmental health monitoring app built for the 9th CASSINI Hackathon that transforms satellite data into personalized health advice
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