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

Machine Learning (1501) Electronic Health Records (1068) Natural Language Processing (706) Decision Support for Health Professionals (1210) Clinical Informatics (1050)

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
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Kwon Y, Lee H, Baik S, Chang H, Lee J. Comparison of a Machine Learning Method and Various Equations for Estimating Low-Density Lipoprotein Cholesterol in Korean Populations. Frontiers in Cardiovascular Medicine 2022;9 View
  2. Oh G, Ko T, Kim J, Lee M, Choi S, Bae Y, Kim K, Lee H. Estimation of low-density lipoprotein cholesterol levels using machine learning. International Journal of Cardiology 2022;352:144 View
  3. Kang J, Hwang S, Lee T, Cho J, Seo D, Choi S, Uh Y. Gestational age-specific serum creatinine can predict adverse pregnancy outcomes. Scientific Reports 2022;12(1) View
  4. Jang J, Yoo G, Lee T, Uh Y, Kim J. Identification of the robust predictor for sepsis based on clustering analysis. Scientific Reports 2022;12(1) View
  5. Kang J, Hwang S, Lee T, Ahn K, Seo D, Choi S, Uh Y. Prediction Model for Pre-Eclampsia Using Gestational-Age-Specific Serum Creatinine Distribution. Biology 2023;12(6):816 View
  6. Jin S, Lee T, Moon H, Park E, Lee S, Roh Y, Seo D, Kim W, Hwang H. Classification Model for Epileptic Seizure Using Simple Postictal Laboratory Indices. Journal of Clinical Medicine 2023;12(12):4031 View
  7. Demirci F, Akşit M, Keskin M. Rational Laboratory Practice in the “Savings and Revenue Enhancement Program” Perspective: Calculated LDL. The Anatolian Journal of General Medical Research 2024:78 View