HaHafeng
beb7f7f559
Core Components: - PDFStorageService with Dify/OSS adapters - LLM12FieldsService with Nougat-first + dual-model + 3-layer JSON parsing - PromptBuilder for dynamic prompt assembly - MedicalLogicValidator with 5 rules + fault tolerance - EvidenceChainValidator for citation integrity - ConflictDetectionService for dual-model comparison Prompt Engineering: - System Prompt (6601 chars, Section-Aware strategy) - User Prompt template (PICOS context injection) - JSON Schema (12 fields constraints) - Cochrane standards (not loaded in MVP) Key Innovations: - 3-layer JSON parsing (JSON.parse + json-repair + code block extraction) - Promise.allSettled for dual-model fault tolerance - safeGetFieldValue for robust field extraction - Mixed CN/EN token calculation Integration Tests: - integration-test.ts (full test) - quick-test.ts (quick test) - cached-result-test.ts (fault tolerance test) Documentation Updates: - Development record (Day 2-3 summary) - Quality assurance strategy (full-text screening) - Development plan (progress update) - Module status (v1.1 update) - Technical debt (10 new items) Test Results: - JSON parsing success rate: 100% - Medical logic validation: 5/5 passed - Dual-model parallel processing: OK - Cost per PDF: CNY 0.10 Files: 238 changed, 14383 insertions(+), 32 deletions(-) Docs: docs/03-涓氬姟妯″潡/ASL-AI鏅鸿兘鏂囩尞/05-寮€鍙戣褰?2025-11-22_Day2-Day3_LLM鏈嶅姟涓庨獙璇佺郴缁熷紑鍙?md
27 lines
703 B
Plaintext
27 lines
703 B
Plaintext
全文复筛及提取模版
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1. 文献来源：
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2. 研究类型
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3. 研究设计细节
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（1）随访时间
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（2）数据来源
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4. 疾病诊断标准
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5. 人群特征
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（1）样本量
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（2）人口统计学
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6. 基线数据
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（1）主要功能指标（如果是肾病，那么就是肾功能指标）
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（2）合并症
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7. 干预措施
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（1）药物类别
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（2）剂量与疗程，与药物类别相对应
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8. 对照措施
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9. 结局指标
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（1）主要结局
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（2）次要结局
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10. 统计方法
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11. 质量评价
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12. 其他
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（1）数据来源
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（2）与Protocol匹配度
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（3）利益冲突 |