Library/medspacy
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medspacy/medspacy

medspacy

Library for clinical NLP with spaCy.

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medspacy

medspacy

medspacy • individual

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643

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109

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Created

Jun 16, 2020

Project creation date

README Summary

MedSpaCy is a library for clinical natural language processing built on top of spaCy, providing specialized tools for processing medical text. It includes components for clinical named entity recognition, negation detection, section segmentation, and other medical NLP tasks. The library is designed to help researchers and developers extract meaningful information from clinical documents and electronic health records.

AI Dev Skills

Unmapped

Clinical Natural Language ProcessingNamed Entity RecognitionRule-based NLPMedical Text MiningContext DetectionNegation DetectionspaCy Pipeline Development

Tags

Clinical Natural Language ProcessingNamed Entity RecognitionRule-based NLPMedical Text MiningContext DetectionNegation DetectionspaCy Pipeline DevelopmentHealthcare Document AnalysisHealthcare AutomationClinical InformaticsSelf-hostedClinical Text ClassificationClinical Note ProcessingMedical Record AnalysisMedical ResearchTextHealthcareMedical Entity ExtractionClinical AIDomain-Specific NLPOn-premiseJupyter Notebook

Taxonomy

Recent Activity

Updated 8 months ago

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Quality

beta
Quality
medium
Maturity
beta

Categories

MLOps & InfrastructurePrimaryDev Tools & AutomationLearning ResourcesNLP & TextML Platform & InfrastructureData Science & AnalyticsHealthcare & BiologySearch & KnowledgeOther AI / ML

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Jupyter Notebook100.0%

Timeline

Project created
Jun 16, 2020
Forked
Mar 23, 2026
Your last push
8 months ago
Upstream last push
13 days ago
Tracked since
Aug 4, 2025

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