umassbento/ehrbert
A fine-tuned BERT using EHR notes.
This project helps medical researchers and data scientists analyze large collections of electronic health record (EHR) notes. It takes raw, unstructured text from patient charts and processes it to extract meaningful insights, helping you understand patterns in medical data. This tool is for those working with clinical text for research or analytical purposes.
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Use this if you need a specialized language model trained on a vast amount of real-world clinical documentation to improve the accuracy of tasks like disease classification or patient outcome prediction from text.
Not ideal if you require a publicly available model for immediate use, as this specific version is currently unavailable due to privacy concerns; consider ClinicalBERT instead.
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Sep 12, 2019
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