smart-primate/Named_Entity_Recognition_Healthcare_Data
Named Entity Recognition in Healthcare data to identify possible diseases and their suggested treatments from a corpus of medical text containing both disease and treatment.
This helps healthcare platforms like 'BeHealthy' automatically identify diseases and their corresponding treatments from unstructured medical text, such as doctor's notes or therapy reviews. You input free-form medical text, and it outputs recognized diseases and suggested treatments. It is designed for medical data analysts, health-tech platform managers, or anyone needing to extract structured medical insights from large volumes of clinical text.
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Use this if you need to quickly and accurately extract disease and treatment information from a large collection of medical records or clinical notes without manual review.
Not ideal if you require explicit, human-verified disease-treatment pairs and cannot tolerate any automated extraction errors, or if your medical texts are in a language other than English.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 05, 2023
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