遇见数据集

Extract findings in radiology reports

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Databricks2024-05-09 收录
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**Extract findings in radiology reports:** This model is engineered for radiology texts and reports, adeptly identifying entities such as imaging test, imaging technique, imaging findings, and more. It also automatically detects the assertion status of the findings: Confirmed, Suspected, Negative and is able to find relations between diagnosis, tests and imaging findings. Developed with radiologists, technicians, and medical researchers in mind, the model brings high accuracy to the extraction of pivotal data points from radiological documentation. Harness the power of this pipeline to enhance diagnostic precision, streamline radiological workflows, and support data-driven clinical decision-making. **Additional Model Information** - [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2024/01/18/explain_clinical_doc_radiology_en.html) - **Domain:** Clinical Text Analysis - **Subdomain:** Clinical Entity and Event Analysis - **Predictable entities:** ImagingTest, Imaging_Technique, ImagingFindings, OtherFindings, BodyPart, Direction, Test, Symptom, Disease_Syndrome_Disorder, Medical_Device, Procedure, Measurements, Units - **Assertion status entities:** Confirmed, Suspected, Negative. - **Relationships between entities:** 0, 1 - **Deployment Identifier:** 25. Extract findings in radiology reports **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 **25. Extract findings in radiology reports** 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 for John Snow Labs models:** 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
Extract findings in radiology reports 数据集图片
背景与挑战
背景概述
该模型专门用于放射学文本和报告,能够识别影像测试、技术、发现等实体,并自动检测发现的断言状态(确认、怀疑、阴性)以及诊断、测试和影像发现之间的关系。旨在帮助放射科医生、技术人员和医学研究人员从放射学文档中提取关键数据,从而提升诊断精度、优化工作流程并支持数据驱动的临床决策。
以上内容由遇见数据集搜集并总结生成
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