HaHafeng
8eef9e0544
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
医学NLP引擎
能力定位： 通用能力层
复用率： 14% (1个模块依赖)
优先级： P2
状态： ⏳ 待实现
📋 能力概述
医学NLP引擎负责：
- 医学实体识别（NER）
- 医学术语标准化
- 疾病/药物识别
📊 依赖模块
1个模块依赖（14%复用率）：
- DC - 数据清洗整理（病例数据NER提取）
💡 核心功能
1. 医学实体识别
- 疾病识别
- 药物识别
- 手术识别
- TNM分期提取
2. 术语标准化
- ICD编码
- ATC编码
3. 关系抽取
- 疾病-药物关系
- 症状-疾病关系
🏗️ 技术方案
云端版（高准确率）
# 基于LLM API（Claude/GPT）
# JSON Mode结构化输出
单机版（隐私优先）
# 基于spaCy + 医学模型
# 100%本地运行
🔗 相关文档
最后更新： 2025-11-06
维护人： 技术架构师