HaHafeng
2e8699c217
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
88 lines
1.1 KiB
Markdown
88 lines
1.1 KiB
Markdown
# 医学NLP引擎
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> **能力定位：** 通用能力层
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> **复用率：** 14% (1个模块依赖)
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> **优先级：** P2
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> **状态：** ⏳ 待实现
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---
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## 📋 能力概述
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医学NLP引擎负责：
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- 医学实体识别（NER）
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- 医学术语标准化
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- 疾病/药物识别
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---
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## 📊 依赖模块
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**1个模块依赖（14%复用率）：**
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1. **DC** - 数据清洗整理（病例数据NER提取）
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---
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## 💡 核心功能
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### 1. 医学实体识别
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- 疾病识别
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- 药物识别
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- 手术识别
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- TNM分期提取
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### 2. 术语标准化
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- ICD编码
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- ATC编码
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### 3. 关系抽取
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- 疾病-药物关系
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- 症状-疾病关系
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---
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## 🏗️ 技术方案
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### 云端版（高准确率）
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```python
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# 基于LLM API（Claude/GPT）
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# JSON Mode结构化输出
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```
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### 单机版（隐私优先）
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```python
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# 基于spaCy + 医学模型
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# 100%本地运行
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```
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---
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## 🔗 相关文档
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- [通用能力层总览](../README.md)
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- [DC模块需求](../../03-业务模块/DC-数据清洗整理/README.md)
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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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