Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation

BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. Contemporary equations for LDL-C estimation have limited accuracy in certain scenarios (high triglycerides [TG], very low LDL-C). OBJECTIVES: We derived a novel method for LDL-C estimation from the sta...

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書誌詳細
出版年:PLoS One
主要な著者: Singh, Gurpreet, Hussain, Yasin, Xu, Zhuoran, Sholle, Evan, Michalak, Kelly, Dolan, Kristina, Lee, Benjamin C., van Rosendael, Alexander R., Fatima, Zahra, Peña, Jessica M., Wilson, Peter W. F., Gotto, Antonio M., Shaw, Leslee J., Baskaran, Lohendran, Al’Aref, Subhi J.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2020
主題:
Research Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7526877/
https://ncbi.nlm.nih.gov/pubmed/32997716
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239934
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