Akiba So
fc468464b2
Context: Build a spatial risk assessment system correlating air quality data with children's respiratory disease incidence across Wuhan. Approach: FastAPI backend serving PostGIS spatial queries, React frontend with Deck.gl maps, and a PyTorch SpatialTemporalGCN pipeline for multi-day (1d/3d/7d) risk prediction. Changes: - backend/ — FastAPI API with auth (JWT), alerts, risk analysis, geocoded case data, grid statistics, and report endpoints - frontend/ — React dashboard with interactive risk maps, alert monitoring, district comparison charts, and timeline player - models/ — SpatialTemporalGCN model with trained weights and ONNX export for inference - scripts/ — ETL pipeline for weather + medical data, grid generation, feature engineering, training, and daily inference - deploy/ — Docker Compose configs for backend, frontend, and MLflow - docs/ — API docs, deployment guide, user guide, and code review Impact: Enables spatial risk visualization, alert monitoring, and ML-driven health risk forecasting for environmental health teams.
18 lines
888 B
HTML
18 lines
888 B
HTML
<!DOCTYPE html>
|
|
<html lang="zh-CN">
|
|
<head>
|
|
<meta charset="UTF-8" />
|
|
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
|
<title>武汉儿童呼吸道疾病风险预测平台</title>
|
|
<link rel="preconnect" href="https://fonts.googleapis.com">
|
|
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
|
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600&family=Noto+Sans+SC:wght@400;500;600&family=Source+Sans+Pro:wght@400;600;700&display=swap" rel="stylesheet">
|
|
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" integrity="sha256-p4NxAoJBhIIN+hmNHrzRCf9tD/miZyoHS5obTRR9BMY=" crossorigin="" />
|
|
</head>
|
|
<body>
|
|
<div id="root"></div>
|
|
<script type="module" src="/src/main.tsx"></script>
|
|
</body>
|
|
</html>
|