Megha-Bose/Disease-NER

Given a medical diagnosis, identifying medical conditions within the text through named entity linking and mapping them to standardized medical encodings using BERT based models. Task: https://temu.bsc.es/distemist/

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Experimental

This project helps medical professionals, researchers, or data analysts to automatically identify medical conditions mentioned within clinical texts, such as patient diagnoses or research papers. It takes unstructured medical text as input and outputs a list of identified diseases, linked to standardized medical codes like SNOMED CT. This helps streamline the process of extracting and standardizing disease information for analysis or record-keeping.

No commits in the last 6 months.

Use this if you need to automatically extract and standardize disease mentions from large volumes of unstructured medical text.

Not ideal if you are looking for a tool to identify non-disease medical entities or if your primary need is for manual annotation.

clinical documentation medical coding biomedical research health informatics data extraction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 8 / 25

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Last pushed

Nov 18, 2022

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Megha-Bose/Disease-NER"

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