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.

**提取药物及其UMLS（统一医学语言系统，Unified Medical Language System）编码：**

本模型针对医疗领域药物分类的复杂应用场景定制开发。依托覆盖范围广泛的UMLS CUI（概念唯一标识符，Concept Unique Identifier）分类体系，本模型可实现各类药物的精准标准化编码，这一能力对于医疗服务提供者、药剂师及医学研究人员均至关重要。

**核心特性：**
- 高效将各类药物映射至对应的UMLS CUI编码
- 助力医疗系统间实现药物信息标准化，提升数据互操作性与准确性。

该模型能够识别并映射多种类型的药物，包括处方药物、非处方药物、天然补充剂以及各类化学物质。其可辅助实现患者病历中药物信息的标准化记录，适用于高效的医疗档案管理；在药物研究领域，可助力药理学研究与药物开发中的药物分类与分析工作；在健康信息学场景中，可通过一致且精准的药物编码提升健康信息系统的质量。

**附加模型信息**
- [行业用例演示](https://demo.johnsnowlabs.com/healthcare/ER_UMLS_CUI_DRUG_SUBSTANCE/)
- [John Snow Labs模型中心完整模型信息](https://nlp.johnsnowlabs.com/2022/07/26/umls_drug_resolver_pipeline_en_3_0.html)
- **所属领域**：临床文本分析
- **子领域**：术语编码
- **可预测实体**：UMLS编码
- **部署标识**：46. 提取药物及其UMLS编码

**模型运行方式：**
1. 从[销售对接邮箱](mailto:[e-mail])获取John Snow Labs的按需付费（Pay As You Go, PAYG）许可证
2. 导入该模型条目
3. 使用附带的Notebook部署模型，需将**46. 提取药物及其UMLS编码**作为模型参数。**请勿使用导入该条目后页面上出现的"打开"按钮，该功能目前无法正常完成模型部署，必须使用附带的Notebook进行部署。**

本模型提供优化后的CPU与GPU部署版本，您可通过Notebook选择所需的部署类型。