OdedMous/Medical-Text-Classification
Developed an NLP classifier for detecting medical domains in texts using a Siamese Neural Network
This project helps medical professionals or healthcare organizations automatically categorize unstructured medical texts, like patient transcriptions or descriptions, into their specific medical specialties. It takes raw text as input and outputs a classification, such as 'Cardiovascular / Pulmonary' or 'Radiology'. This tool is designed for anyone who needs to sort or analyze large volumes of medical documentation by domain.
No commits in the last 6 months.
Use this if you need to automatically identify the medical specialty of patient records or other clinical texts for better organization, routing, or analysis.
Not ideal if you require an extremely high-accuracy, state-of-the-art classifier for a very broad range of medical specialties, as this project focuses on a subset of domains.
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Last pushed
Mar 30, 2025
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