NCIT Clinical Terminology Mapper

**NCIT Clinical Terminology Mapper**

This advanced pipeline extracts oncological entities from clinical texts and map these entities to their corresponding National Cancer Institute Thesaurus (NCIt) codes.

**Predicted entities**:
Adenopathy, Biomarker, Biomarker_Result, Cancer_Dx, Cancer_Score, Cancer_Surgery, Chemotherapy, Cycle_Count, Cycle_Day, Cycle_Number, Direction, Duration, Frequency, Grade, Histological_Type, Hormonal_Therapy, Imaging_Test, Immunotherapy, Invasion, Line_Of_Therapy, Metastasis, Oncogene, Pathology_Result, Pathology_Test, Performance_Status, Radiation_Dose, Radiotherapy, Response_To_Treatment, Route, Site_Bone, Site_Brain, Site_Breast, Site_Liver, Site_Lung, Site_Lymph_Node, Site_Other_Body_Part, Staging, Targeted_Therapy, Tumor_Finding, Unspecific_Therapy

Simply pass in one or more text documents and get back :
- Detected Named Entity Recognition (NER) chunk
- NER chunk Position, Label and Confidence Score
- Resolution and Resolution code
- Cosine distance score of the resolution
- All the other possible resolutions of the NER chunk
- Codes of all resolutions
- All the cosine distance scores of the for all resolutions

**Additional Model Information**
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2024/02/01/ncit_resolver_pipeline_en.html)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Terminology Codes

**How to run this model:**
- Acquire a John Snow Labs license from [Sales](mailto:[e-mail])
- Import this listing.
- See the attached notebook to deploy and use the model.