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.

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。