databricks-industry-solutions/oncology
Generate oncology insights from real-world data using NLP. Once extracted, oncology data is enriched with useful information like ICD-10 codes and used to build powerful visualizations
This project helps healthcare professionals and researchers extract crucial oncology insights from large volumes of unstructured clinical notes. It takes raw, free-text medical reports and transforms them into structured data, identifying key entities like cancer types, symptoms, drugs, and procedures. This structured information can then be used for in-depth analysis and visualization.
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Use this if you need to systematically analyze large collections of oncology notes to understand patient risk factors, drug efficacy, treatment timelines, or prepare data for billing and reimbursement.
Not ideal if you primarily work with pre-structured clinical data or require a tool for direct patient diagnosis or treatment recommendations.
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12
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7
Language
Python
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Last pushed
Mar 01, 2023
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