Extract Drugs and their UMLS Codes

**Extract Drugs and their UMLS Codes:**

This model is tailored to address the complexities of drug classification in the healthcare sector. Leveraging the extensive UMLS CUI taxonomy, this model provides accurate and standardized coding of various drugs, essential for healthcare providers, pharmacists, and medical researchers.

**Key Features:**
- Efficiently maps a wide range of drugs to the relevant UMLS CUI codes.
- Helps standardize drug information across healthcare systems, enhancing data interoperability and accuracy.

The model is able to identify and map diverse drugs, including prescription medications, over-the-counter drugs, natural supplements, and various chemical substances. Can be used for efficient medical record keeping as it can assist in the standardized recording of drug information in patient records. In pharmaceutical research it can help in the categorization and analysis of drugs in pharmacological studies and drug development. For health informatics it can be used to enhance the quality of health informatics systems with consistent and precise drug coding.

**Additional Model Information**
- [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/ER_UMLS_CUI_DRUG_SUBSTANCE/)
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2022/07/26/umls_drug_resolver_pipeline_en_3_0.html)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Terminology Codes
- **Predictable entities:** UMLS Codes
- **Deployment Identifier:** 46. Extract Drugs and their UMLS Codes

**How to run this model:**
1. Acquire a John Snow Labs Pay As You Go (PAYG) license from [Sales](mailto:[e-mail])
2. Import this listing.
3. Use the attached notebook to deploy the model with **46. Extract Drugs and their UMLS Codes** as the model parameter. **Do not use the Open button on this page which appears after importing this listing. It will fail to deploy a model and does not work yet, you must use the attached notebook.**.

This model comes with optimized CPU and GPU builds. You can select which one to deploy via the notebook.