This model is designed for the conversion of RxNorm concepts to MeSH codes.
~$12,000/yr est.
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Freshness
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API
API Available
Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$12,000/yr est.
Request a sample directly from John Snow Labs.
Structured Extraction of Real World Medical Knowledge ...
by E Kim · 2024 · Cited by 11 — Our method maps to existing ontologies (MeSH, SNOMED-CT, RxNORM, HPO) to ground extracted entities. Using a large ambulatory care EHR ...
Medical Large Language Model Benchmarks Should ...
UMLS is a comprehensive ontology that integrates concepts from medical vocabularies such as SNOMED, MeSH, LOINC, RxNorm, and ICD. By ...
CTG-DB: An Ontology-Based Transformation of ...
Future work will focus on mapping interventions to standardized drug concepts (e.g., RxNorm and active moieties), resolving multi-product ...
Expected fields and columns in this data product
RxNorm to MeSH Code Mapper is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $12,000/yr (an estimate, not a vendor-published price).
This model is designed for the conversion of RxNorm concepts to MeSH codes.
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...