defining-cohort-phenotypes

仓库创建 2025年10月4日最近提交 1 天前SkillHot 收录 1 天前
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把文本证据纳入可移植的表型定义,方便研究与跨机构复现分析。

▸ 风险提示

依赖 OMOP 映射与源数据质量,迁移或跨库应用需谨慎验证。

这个 Skill 做什么

在 OMOP CDM 上编写可执行表型与队列定义,结合 OpenMed 的 NLP 特征。

把“哪些病人属于某个队列”写成可以在 OMOP CDM 上执行的可计算表型,包含 concept set 和入选逻辑,能导出为 ATLAS/CIRCE 风格的 JSON。常用于队列研究、复用 PheKB/OHDSI 定义,或把 OpenMed 提取的 NLP 特征补到基于代码的筛选里。特点是把结构化代码和文本抽取特征合并,便于在不同数据库上重用。

▸ 展开 SKILL.md 英文原文

Authors computable phenotype and cohort definitions in the OHDSI ATLAS / CIRCE style over the OMOP CDM, combining standard concept sets with NLP-derived features that OpenMed extracts. Use when the user wants to define a patient cohort, write a computable phenotype, reuse PheKB or OHDSI Phenotype Library logic, build concept sets, or augment code-based criteria with text features. Trigger keywords: phenotype, cohort definition, OHDSI, ATLAS, CIRCE, OMOP CDM, concept set, PheKB, Phenotype Library, eMERGE, computable phenotype. Pairs adjacent to OpenMed: NLP features from openmed.analyze_text augment code-based phenotypes for entities that are poorly captured by structured codes. OMOP CDM and OHDSI tools are open source; restricted vocabularies (SNOMED, CPT) are user-supplied.

垂直行业表型定义OMOP队列构建通用
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# Defining cohort phenotypes (OHDSI / OMOP CDM)

A **computable phenotype** is a portable, executable definition of "which patients
have condition X" — concept sets plus inclusion logic that runs against any
**OMOP CDM**-compliant database. In the OHDSI stack, ATLAS authors these visually,
**CIRCE** serializes them to a standardized **JSON** representation, and that JSON
compiles to database-specific SQL. This skill helps you author such definitions
and **augment them with NLP features** that OpenMed extracts from clinical text —
exactly the signals that structured codes miss.

OMOP CDM, ATLAS, CIRCE, and the OHDSI Phenotype Library are open source. The
*vocabulary content* you reference (SN
via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有