Files
AIclinicalresearch/docs/03-业务模块/SSA-智能统计分析/README.md
HaHafeng 8eef9e0544 feat(asl): Complete Week 4 - Results display and Excel export with hybrid solution
Features:
- Backend statistics API (cloud-native Prisma aggregation)
- Results page with hybrid solution (AI consensus + human final decision)
- Excel export (frontend generation, zero disk write, cloud-native)
- PRISMA-style exclusion reason analysis with bar chart
- Batch selection and export (3 export methods)
- Fixed logic contradiction (inclusion does not show exclusion reason)
- Optimized table width (870px, no horizontal scroll)

Components:
- Backend: screeningController.ts - add getProjectStatistics API
- Frontend: ScreeningResults.tsx - complete results page (hybrid solution)
- Frontend: excelExport.ts - Excel export utility (40 columns full info)
- Frontend: ScreeningWorkbench.tsx - add navigation button
- Utils: get-test-projects.mjs - quick test tool

Architecture:
- Cloud-native: backend aggregation reduces network transfer
- Cloud-native: frontend Excel generation (zero file persistence)
- Reuse platform: global prisma instance, logger
- Performance: statistics API < 500ms, Excel export < 3s (1000 records)

Documentation:
- Update module status guide (add Week 4 features)
- Update task breakdown (mark Week 4 completed)
- Update API design spec (add statistics API)
- Update database design (add field usage notes)
- Create Week 4 development plan
- Create Week 4 completion report
- Create technical debt list

Test:
- End-to-end flow test passed
- All features verified
- Performance test passed
- Cloud-native compliance verified

Ref: Week 4 Development Plan
Scope: ASL Module MVP - Title Abstract Screening Results
Cloud-Native: Backend aggregation + Frontend Excel generation
2025-11-21 20:12:38 +08:00

1.3 KiB
Raw Blame History

SSA - 智能统计分析

模块代号: SSA (Smart Statistical Analysis)
开发状态: 规划中
商业价值: 刚需
独立性:
优先级: P2


📋 模块概述

智能统计分析模块提供3条核心分析路径实现从数据上传到报告导出的完整流程。


🎯 核心功能3条路径

1. 队列研究分析

  • 基线特征分析
  • 生存分析Kaplan-Meier
  • Cox回归

2. 预测模型构建

  • 变量筛选
  • 模型构建Logistic回归、随机森林
  • 模型验证ROC曲线

3. RCT研究分析

  • 随机化检查
  • 疗效分析
  • 亚组分析

📂 文档结构

SSA-智能统计分析/
  ├── [AI对接] SSA快速上下文.md      # ⏳ 待创建
  ├── 00-项目概述/
  │   └── 01-产品需求文档(PRD).md    # ⏳ 待创建
  └── README.md                       # ✅ 当前文档

🔗 依赖的通用能力

  • 文档处理引擎 - 数据导入
  • ETL引擎 - 数据预处理

🏗️ 技术栈

  • R语言 - 统计分析核心
  • Plumber - R暴露为API
  • Node.js - 粘合层

🎯 商业模式

与ST模块协同售卖


最后更新: 2025-11-06
维护人: 技术架构师