This paper is in the following e-collection/theme issue:

Machine Learning (1662) Electronic Health Records (1139) Natural Language Processing (775) Decision Support for Health Professionals (1310) Clinical Informatics (1121)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29331, first published .
A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application

A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application

A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application

Authors of this article:

Sangwon Hwang1 Author Orcid Image ;   Chanwoo Gwon2 Author Orcid Image ;   Dong Min Seo3 Author Orcid Image ;   Jooyoung Cho4 Author Orcid Image ;   Jang-Young Kim5 Author Orcid Image ;   Young Uh4 Author Orcid Image
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RT @jmirpub: New JMIR MedInform: A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From #ehrs: Real-Time Routine Cli…

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