Extract Clinical Findings and their UMLS Codes

**Extract Clinical Findings and their UMLS Codes:**

This model represents a specialized solution for converting text-based clinical findings into their standardized UMLS CUI codes. This model is particularly beneficial for healthcare professionals, medical coders, and clinical researchers who require accurate and efficient mapping of clinical data for analysis, reporting, and record-keeping.

**Key Features:**
- Automatically maps clinical findings, or problem entities, to their respective UMLS CUI codes.
- Ensures precision in the mapping process, significantly reducing the likelihood of errors compared to manual coding.
Can be used for medical record management as it facilitates the standardized coding of patient records, enhancing data consistency and interoperability. In the area of clinical research it can assists researchers in categorizing and analyzing clinical data with standardized codes for more accurate and comparable results. For healthcare analytics it can enable healthcare organizations to efficiently analyze clinical data for trends, outcomes, and quality assurance purposes.

**Additional Model Information**
- [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/ER_UMLS_CUI/)
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2022/07/26/umls_clinical_findings_resolver_pipeline_en_3_0.html)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Terminology Codes
- **Predictable entities:** UMLS Codes
- **Deployment Identifier:** 45. Extract Clinical Findings and their UMLS Codes

**How to run this model:**
1. Acquire a John Snow Labs Pay As You Go (PAYG) license from [John Snow Labs](https://my.johnsnowlabs.com/).
2. Import this listing.
3. Use the attached notebook to deploy the model with **45. Extract Clinical Findings 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.

**How to obtain a PAYG license:**
1. Access [my.JohnSnowLabs.com](https://my.johnsnowlabs.com) and log in to your account. If you don't have an account, create one.
2. Go to the Get License page.
3. Switch to the PAYG Subscription tab and provide your credit card details.
4. Carefully review the End User License Agreement and the Terms and Conditions documents. If you agree, click on the Create Subscription button.
5. Once the process is complete, you will find your PAY-As-You-GO license listed on the My Subscriptions page.
6. Visit the My Subscriptions page and copy the PAYG license key by clicking on the copy icon in the License Key column.
7. Go to your Databricks notebook and paste your JSL-license into the JSL-License field in the top of the notebook. You are now ready to go!