RxNorm to MeSH Code Mapper

**RxNorm to MeSH Code Mapper:**

The RxNorm to MeSH Code Conversion Model specializes in translating RxNorm identifiers into corresponding MeSH (Medical Subject Headings) codes. The model is invaluable for aligning pharmaceutical terminologies with medical research and documentation needs. Input white space-delimited RxNorm codes and the model returns the corresponding MeSH codes as a list. If there is no mapping, the original code is returned with no mapping.

**Key Features:**
- Facilitates seamless interoperability between RxNorm pharmaceutical terminology and MeSH, crucial for research, clinical documentation, and data analysis in the medical field.
- The model is designed for straightforward integration into existing healthcare and research information systems, simplifying the conversion process and reducing the burden on healthcare professionals, researchers, and data analysts.
- By providing accurate mappings from RxNorm to MeSH codes, the model supports enhanced precision in medical research, clinical studies, and pharmaceutical documentation, leveraging the comprehensive nature of RxNorm and the extensive research applications of MeSH.
This tool enables the effective conversion of RxNorm concepts into MeSH codes, offering a useful resource for various applications such as pharmaceutical research, clinical documentation, and data analytics. It plays a pivotal role in enhancing the accuracy of pharmaceutical documentation and research data by aligning detailed drug terminologies with standardized research and medical subject headings. Furthermore, it contributes to the advancement of healthcare informatics by promoting the standardization and harmonization of pharmaceutical data across various systems, ultimately elevating data management and analysis within the medical and research domains.

**Additional Model Information**
- [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/ER_CODE_MAPPING/)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Terminology Codes
- **Predictable entities:** mesh
- **Deployment Identifier:** 53. RxNorm to MeSH Code Mapper

**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 **53. RxNorm to MeSH Code Mapper** 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!