levrex/DiagnosisExtraction_ML
Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.
This project helps medical researchers and healthcare professionals automatically identify specific patient diagnoses from unstructured electronic health record (EHR) text data. You provide patient narratives or clinical notes, and the system classifies them to indicate the presence or absence of a particular diagnosis, like Rheumatoid Arthritis. It's designed for medical informatics specialists or clinicians working with large datasets.
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Use this if you need to build a system to automatically extract diagnoses from narrative clinical text in electronic health records.
Not ideal if you're looking for a pre-trained, ready-to-use diagnostic tool that doesn't require setting up a machine learning pipeline.
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Jupyter Notebook
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MIT
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Last pushed
Jul 06, 2023
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