Extract Clinical Findings and the corresponding ICD 9 codes

**Extract Clinical Findings and the corresponding ICD 9 codes:** Tailored for healthcare professionals and medical coders, this model can parse complex medical text and extract health related problems and their corresponding codes from the International Classification of Diseases, Ninth Revision (ICD-9) taxonomy. The model reduces the manual effort required in coding, minimizes errors, and ensures consistency in coding practices. With this model, healthcare providers can streamline their billing processes, enhance claim accuracy, and improve compliance with healthcare regulations. **Additional Model Information** - [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2023/06/22/icd9_resolver_pipeline_en.html) - **Domain:** Clinical Text Analysis - **Subdomain:** Terminology Codes - **Predictable entities:** ICD 9 Codes - **Deployment Identifier:** 44. Extract Clinical Findings and the corresponding ICD 9 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 **44. Extract Clinical Findings and the corresponding ICD 9 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.**提取临床发现及对应ICD-9编码：** 专为医疗从业者与医学编码员打造，本模型可解析复杂医学文本，并从国际疾病分类第9版（International Classification of Diseases, Ninth Revision, ICD-9）分类体系中提取健康相关问题及其对应编码。该模型可降低编码工作所需的人工投入，最大限度减少编码错误，并保障编码操作的一致性。借助本模型，医疗服务提供者可优化计费流程，提升理赔准确性，并增强对医疗监管法规的合规性。 **模型附加信息** - [约翰·斯诺实验室模型中心（John Snow Labs Models Hub）完整模型信息](https://nlp.johnsnowlabs.com/2023/06/22/icd9_resolver_pipeline_en.html) - **应用领域**：临床文本分析 - **子领域**：术语编码 - **可预测实体**：ICD-9编码 - **部署标识**：44. 提取临床发现及对应ICD-9编码 **模型运行方法：** 1. 前往[销售邮箱](mailto:[e-mail])申请约翰·斯诺实验室（John Snow Labs）的随用随付（Pay As You Go, PAYG）授权许可 2. 导入本模型条目 3. 使用附带的笔记本部署模型，将**44. 提取临床发现及对应ICD-9编码**作为模型参数。**请勿使用导入本条目后页面中出现的「打开」按钮，该按钮目前无法正常部署模型且暂不可用，必须使用附带的笔记本进行部署。** 本模型提供优化后的CPU与GPU部署版本，您可通过附带的笔记本选择所需的部署类型。

搜集汇总

背景与挑战

背景概述

该数据集提供了一种医疗文本分析模型，能够自动提取临床发现及其对应的ICD-9疾病分类代码，帮助医疗专业人员简化编码流程、减少错误并提高合规性。模型支持CPU和GPU优化部署，需通过特定笔记本配置使用。