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
108 lines
2.0 KiB
Markdown
108 lines
2.0 KiB
Markdown
# DC - 数据清洗整理
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> **模块代号：** DC (Data Cleaning)
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> **开发状态：** ⏳ 规划中
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> **商业价值：** ⭐⭐⭐⭐⭐ 可独立售卖
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> **独立性：** ⭐⭐⭐⭐⭐
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> **优先级：** P1
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---
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## 📋 模块概述
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数据清洗整理模块提供专业工具，处理医院导出的海量（百万行级）、多表格的Excel数据。
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**核心价值：** 核心差异化功能，解决医学科研痛点
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---
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## 🎯 核心功能
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### 1. 表格ETL（重点）
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- 多张Excel表格导入
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- 按"患者ID"和"时间"自动JOIN
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- 重组为干净的分析宽表
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### 2. 文本提取（NER）（重点）
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- 从病理报告提取结构化字段
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- 从住院小结提取关键信息
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- TNM分期自动识别
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### 3. 数据质量报告
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- 缺失值统计
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- 异常值检测
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- 数据质量评分
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### 4. 导出标准化数据
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- Excel导出
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- SPSS格式
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- R语言格式
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---
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## 📂 文档结构
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```
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DC-数据清洗整理/
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├── [AI对接] DC快速上下文.md # ⏳ 待创建
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├── 00-项目概述/
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│ └── 01-产品需求文档(PRD).md # ⏳ 待创建
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├── 01-设计文档/
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│ ├── 01-ETL引擎设计.md # ⏳ 待创建
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│ └── 02-医学NLP设计.md # ⏳ 待创建
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└── README.md # ✅ 当前文档
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```
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---
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## 🔗 依赖的通用能力
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- **LLM网关** - 医学NER提取（云端版）
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- **文档处理引擎** - Excel/Docx读取
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- **ETL引擎** - 数据清洗和转换
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- **医学NLP引擎** - 实体识别（单机版）
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---
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## 🎯 商业模式
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**目标客户：** 临床科室、数据管理员
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**售卖方式：** 独立产品
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**定价策略：** 按项目数或一次性License
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---
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## ⚠️ 技术难点
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1. **大数据处理** - 百万行数据的内存管理
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2. **隐私保护** - 单机版必须100%本地化
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3. **NER准确率** - 医学术语复杂
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---
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**最后更新：** 2025-11-06
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**维护人：** 技术架构师
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