Cargando…
A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application
BACKGROUND: Previously, we constructed a deep neural network (DNN) model to estimate low-density lipoprotein cholesterol (LDL-C). OBJECTIVE: To routinely provide estimated LDL-C levels, we applied the aforementioned DNN model to an electronic health record (EHR) system in real time (deep LDL-EHR). M...
Autores principales: | Hwang, Sangwon, Gwon, Chanwoo, Seo, Dong Min, Cho, Jooyoung, Kim, Jang-Young, Uh, Young |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371492/ https://www.ncbi.nlm.nih.gov/pubmed/34342586 http://dx.doi.org/10.2196/29331 |
Ejemplares similares
-
Assessing the Accuracy of Estimated Lipoprotein(a) Cholesterol and Lipoprotein(a)‐Free Low‐Density Lipoprotein Cholesterol
por: Zheng, Weili, et al.
Publicado: (2022) -
Low-density lipoprotein cholesterol estimation by the Anandaraja's formula – confirmation
por: Gasko, Rudolf
Publicado: (2006) -
Low Density Lipoprotein-Cholesterol/High Density Lipoprotein-Cholesterol Ratio Predicts Plaque Vulnerability in Patients With Stable Angina
por: Kim, Jeong Hun, et al.
Publicado: (2012) -
Accuracy of low-density lipoprotein cholesterol estimation at very low levels
por: Quispe, Renato, et al.
Publicado: (2017) -
Why Should We Measure Low-Density Lipoprotein Cholesterol Directly? Comparison of Low-Density Lipoprotein Cholesterol Assessment by Friedewald Estimation, and Direct Measurement
por: Cohen, Hofit
Publicado: (2021)