scientific-clinical-nlp
CommunityClinical NLP pipeline with MedSpaCy and scispaCy
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Clinical notes and biomedical texts are unstructured and rich in terminology, making it hard to extract actionable information. This skill provides a scalable NLP pipeline to identify clinical entities, detect negation, segment sections, and map concepts to standardized vocabularies for downstream analysis.
Core Features & Use Cases
- Clinical NER and concept linking using MedSpaCy and scispaCy
- Negation detection (NegEx/ConText) and automatic section classification
- UMLS/SNOMED-CT ICD-10 linkage for terminology bridging
- De-identification (PHI redaction) to support data privacy
- TU-compatible integration for broader biomedical data workflows
Quick Start
Run the clinical NLP pipeline on a sample set of clinical notes to extract entities, detect sections, and anonymize PHI.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-clinical-nlp Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-clinical-nlp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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