Article

A Comparison of Representation Learning Methods for Medical Concepts in MIMIC-IV

2022-08-22

Abstract excerpt

<h4>Objective</h4> To compare and release the diagnosis (ICD-10-CM), procedure (ICD-10-PCS), and medication (NDC) concept (code) embeddings trained by Latent Dirichlet Allocation (LDA), Word2Vec, GloVe, and BERT, for more efficient electronic health record (EHR) data analysis. <h4>Materials and Methods</h4> The embeddings were pre-trained by the four aforementioned models separately using the diagnosis, procedure,...

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Literature Corpus work: 90d4bf75-d63d-57fa-8a98-619f583c49db
DOI: 10.1101/2022.08.21.22278835

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