elleros/DSHealth2019_loinc_embeddings
Code and Word2Vec embeddings of LOINC codes for KDD 2019 DSHealth paper "Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center": https://arxiv.org/abs/1907.09600
This project helps researchers and healthcare data scientists understand the relationships between different laboratory tests by transforming raw LOINC codes into meaningful numerical representations called embeddings. You input the official LOINC table and these embeddings, and the output is visualizations that show how different lab tests are related. It is used by healthcare researchers and data scientists studying patient data, particularly in oncology.
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Use this if you are a healthcare researcher or data scientist looking to analyze, visualize, or compare LOINC codes to understand patterns in laboratory test data, especially in a cancer research context.
Not ideal if you are looking for a tool to directly process raw patient lab results or to generate clinical diagnoses.
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MIT
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Last pushed
Jun 13, 2024
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