StructFlow-MedicalEval
医疗口述查房记录 L0 Schema 结构化抽取:多模型零样本评测 + 裁判共识 + 人工真值 + 实体级 F1 四阶段流水线
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Details
- External ID
- 1411999539
- Source
- GITHUB
- Company
- —
- Product
- StructFlow-MedicalEval
- Website domain
- github.com
- Launched
- Oct. 9, 2026
- Cohort
- —
- Upvotes
- 20
- Upvotes percentile
- 0.43
- Tags
- —
Enrichment
- Niche
- machine learning developer tools
- Vertical
- Healthcare
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- evaluation pipeline for structured medical record extraction
- Manually corrected
- False
Could you build this?
No This is a specialized medical NLP research pipeline requiring domain-specific clinical schema design, zero-shot multi-model consensus, and doctor-verified ground truth annotations for medical ward rounds.
What it would actually take: This project requires an academic-grade biomedical NLP evaluation framework built in Python (using libraries like Hugging Face, spaCy, and custom entity-matching metrics). The difficult component is defining the clinical L0 schema, handling ambiguous oral ward dialogue, and validating against human ground truth with verified medical practitioners. It requires deep clinical domain expertise and biomedical information extraction research experience.
Competitors
Other products that read as similar to this one — 97 launches clear the similarity bar, closest 8 shown.
Attention rank: #48 of 98 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 331 days after the earliest competitor.
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- szlm_res · github · 2026-10-04 · 21 upvotes · similarity 0.38
- LQI · github · 2026-10-06 · 16 upvotes · similarity 0.38
- genpark-inverted-file-ivf-centroid-clusterer-skill · github · 2026-09-29 · 7 upvotes · similarity 0.37
Other launches for this product
- No other launches for this product.