yeahshow/word2vec_medical_record

Using NLP and RNN to build a clinical decision support model, taking input of structured medical record text (SOAP style records)

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Experimental

This project helps medical professionals analyze structured medical record text, like SOAP notes, to extract meaningful insights. It takes these free-text records as input and produces categorized outputs, which can assist with clinical decision-making. Physicians, nurses, and other healthcare practitioners who work with patient records would find this useful.

No commits in the last 6 months.

Use this if you need to automatically categorize information or identify patterns from free-text medical records to support clinical decisions.

Not ideal if you're looking for a tool to process unstructured data beyond SOAP-style notes or require highly nuanced, non-categorical predictions.

clinical-decision-support medical-record-analysis healthcare-informatics patient-data-categorization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Jun 27, 2018

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/yeahshow/word2vec_medical_record"

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