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SNOMED to UMLS Code Mapper

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Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/83306cbb-ac15-46e4-86a1-43036dd0c1ec/John-Snow-Labs_SNOMED-to-UMLS-Code-Mapper
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资源简介:
**SNOMED to UMLS Code Mapper:** The SNOMED to UMLS Code Mapper is an advanced model that efficiently converts SNOMED CT Identifiers into corresponding UMLS codes. This conversion is crucial for integrating clinical terminologies with the broader spectrum of biomedical vocabularies encompassed by UMLS. The model operates with high precision, ensuring that complex mappings maintain the integrity and specificity of medical data. **Key Features:** - The model facilitates the seamless translation of detailed clinical data from SNOMED CT to the comprehensive UMLS framework, thereby supporting a wide range of healthcare applications including clinical decision support, research, and data analytics. - It is designed for seamless integration with healthcare IT systems, simplifying the process of mapping between these two critical medical terminologies and reducing manual effort for medical professionals and coders. - The precision in translating SCTIDs to UMLS codes ensures that the richness and specificity of clinical data are preserved, aiding in accurate clinical documentation, research, and health informatics. The SNOMED to UMLS Code Mapper serves as an invaluable tool for healthcare providers, researchers, and informatics professionals. By bridging the gap between SNOMED CT and UMLS, the model enhances data interoperability across various healthcare systems, contributing to more efficient and accurate data management. This, in turn, supports a broad range of applications from clinical documentation to health research, reinforcing the model's role as a key facilitator in the advancement of medical informatics. **Additional Model Information** - [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/ER_CODE_MAPPING/) - [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2023/06/17/snomed_umls_mapping_en.html) - **Domain:** Clinical Text Analysis - **Subdomain:** Terminology Codes - **Predictable entities:** umls_code - **Deployment Identifier:** 59. SNOMED to UMLS 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 **59. SNOMED to UMLS 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!
提供机构:
John Snow Labs
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供SNOMED CT标识符与UMLS代码的高精度映射服务,支持临床决策、研究和数据分析等医疗应用。它专为医疗IT系统设计,可简化术语转换流程并保持临床数据的特异性。
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