A compressed large language model embedding dataset of ICD 10 CM descriptions

A compressed large language model embedding dataset of ICD 10 CM descriptions

Abstract This paper presents novel datasets providing numerical representations of ICD-10-CM codes by generating description embeddings using a large language model followed by a dimension reduction via autoencoder. The embeddings serve as informative input features for machine learning models by ca...

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Bibliographic Details
Main Authors: Michael J. Kane, Casey King, Denise Esserman, Nancy K. Latham, Erich J. Greene, David A. Ganz
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Bioinformatics
Subjects:
Large language model
Autoencoder
ICD-10-CM
Electronic health records
EHR
NLP
Online Access:https://doi.org/10.1186/s12859-023-05597-2

Internet

https://doi.org/10.1186/s12859-023-05597-2

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