Akiba So
4df6c71628
Adds a substantial layer of data-backed statistics (all grounded in verified, clean source data — no fabricated metrics). Backend (new routers/statistics.py, prefix /api/stats; +106 pytest still green): - /inpatient-clinical: LOS dist + by-disease quartiles, cost dist + by-disease + cost-vs-LOS, outcome counts, admission-route counts, BMI-by-age, KPIs (5822 admissions, median LOS 4d, mean ¥6294, cure 99.1%, emergency 47%) - /symptoms: 主诉 keyword frequencies (发热/咳嗽/肺炎…) + revisit ratio (36%) - /incidence-rate: per-10k-population standardized rate by district (cases ÷ pop) - /env-correlation: pollutant×cases Pearson + 7×7 pairwise matrix + PM2.5 scatter - /temporal: weekday distribution (+ month/yoy returned but UI omits them — data is December-only, so seasonality/YoY would be misleading) Frontend: - NEW 住院临床分析 page (/analysis/clinical, nav 临床分析): 9 charts + KPI row — LOS histogram + box-by-disease, cost histogram + scatter + by-disease, outcome donut (severity-colored), admission-route donut, age-band BMI box - DiseaseAnalysis: 主诉症状词频 horizontal bar + revisit ratio - DistrictComparison: 标化发病率（每万人）with 病例数↔发病率 toggle (rate is epidemiologically correct; raw counts mislead by population) - EnvironmentalHealth: pollutant-cases correlation bar + 7×7 correlation heatmap + PM2.5×cases scatter with least-squares regression line - TrendAnalysis: 星期就诊分布 + honest "data is December-only" note - statsApi client + types Gates: tsc 0 · build ok · functional e2e 43/43 (incl 2 new clinical) · verified live against real backend data via dev proxy Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
