Features: - feat: Excel template generation and download (with examples) - feat: Excel file parsing in memory (cloud-native, no disk write) - feat: Field validation (title + abstract required) - feat: Smart deduplication (DOI priority + Title fallback) - feat: Literature preview table with statistics - feat: Complete submission flow (create project + import literatures) Components: - feat: Create excelUtils.ts with full Excel processing toolkit - feat: Enhance TitleScreeningSettings page with upload/preview/submit - feat: Update API interface signatures and export unified aslApi object Dependencies: - chore: Add xlsx library for Excel file processing Ref: Week 2 Frontend Development - Day 2 Scope: ASL Module MVP - Title Abstract Screening Cloud-Native: Memory parsing, no file persistence
90 lines
1.3 KiB
Markdown
90 lines
1.3 KiB
Markdown
# 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
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|