starmpcc/CAMEL
Clinically Adapted Model Enhanced from LLaMA
This project offers a specialized language model designed to understand and generate text based on real clinical notes. It takes raw, unstructured clinical text from medical records as input and can produce coherent, clinically relevant responses or insights. Healthcare institutions and medical researchers can use this to process and analyze vast amounts of patient data.
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Use this if you need a language model specifically trained on authentic clinical data to perform tasks like summarizing medical records or extracting clinical information.
Not ideal if you're looking for an immediately deployable model without the need for credentialed access to medical datasets or if you prefer using a more advanced, publicly accessible model like Asclepius.
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89
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Language
Python
License
MIT
Category
Last pushed
Sep 01, 2023
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