NCIT Clinical Terminology Mapper
Extracts oncological entities from clinical texts and maps them to the corresponding National Cancer Institute Thesaurus
API AccessPAID
Est. Price
~$5,000/yr est.
Update Frequency
—
Pricing Tiers
1
Regions
—
Quality SignalsB
Freshness
Recently enriched
Complete
63%
API
API Available
Product Overview
Healthcare NLP & Clinical Data Platform$
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.
Benefits
- Extensive library of pre-trained clinical NLP models
- Multi-language support for clinical de-identification
- High-granularity SDoH and clinical entity extraction
- Cost-effective pricing compared to enterprise-scale healthcare data platforms
Drawbacks
⚠ Limited longitudinal patient journey tracking compared to Komodo Health · ⚠ Requires technical integration via API rather than turnkey dashboard solutionsProduct Intelligence
Value Score
29
quality per $
Try-ability
15
ease of trial
Product Details
Use Cases
Clinical trial patient matching | Oncology research and discovery | Automated cancer registry reporting | Longitudinal patient outcome analysis | Precision medicine treatment planning | Real-world evidence generation | Electronic health record data normalization
Delivery
API
Data Sources
proprietary models
Detected Use Cases
healthcare pharma
Pricing Tiers
Vedex estimate
~$5,000/yr est.
PAIDMEDIUM
Add to Data Room
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$5,000/yr est.
Request a sample directly from John Snow Labs.
Web Authority
High Authority12 mentions·2 platforms
Academic Papers
11 × 8 pts+80
LinkedIn
1 × 2 pts+2
Evidence5 sources
Academic Papers
Ontology Matching with Large Language Models and ...
In the NCIT-DOID mapping task, MILA outperforms the second best baseline, HybridOM, in terms of F-Measure by 3 % percent 3 3\% 3 % . In ...
Academic Papers
The text2term tool to map free-text terms to ontologies [v5]
by RS Gonçalves · 2024 · Cited by 6 — The clinical Text Analysis and Knowledge Extraction System (cTAKES) [18] is an open-source tool for mapping free-text descriptions of biomedical entities to ...Re
Academic Papers
MedRep: Medical Concept Representations for General ...
These representations are then enhanced through graph representation learning and the graph ontology of the OMOP vocabulary. Through MedRep, we ...
Data Dictionary
Expected fields and columns in this data product
About NCIT Clinical Terminology Mapper
NCIT Clinical Terminology 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 $5,000/yr (an estimate, not a vendor-published price).
Extracts oncological entities from clinical texts and maps them to the corresponding National Cancer Institute Thesaurus
About John Snow Labs
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...