Prediction of LDL in hypertriglyceridemic subjects using an innovative ensemble machine learning technique

Determining low-density lipoprotein (LDL) is a costly and time-consuming operation, but triglyceride value above 400 (TG>400) always requires LDL measurement. Obtaining a fast LDL forecast by accurate prediction can be valuable to experts. However, if a high error margin exists, LDL prediction ca...

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Bibliographic Details
Published inTürk biyokimya dergisi Vol. 48; no. 6; pp. 641 - 652
Main Authors Demirci, Ferhat, Emec, Murat, Gursoy Doruk, Ozlem, Ormen, Murat, Akan, Pınar, Hilal Ozcanhan, Mehmet
Format Journal Article
LanguageEnglish
Published De Gruyter 02.01.2024
Subjects
Artificial Intelligence
LDL
machine learning
medical care
prediction methods
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Summary:Determining low-density lipoprotein (LDL) is a costly and time-consuming operation, but triglyceride value above 400 (TG>400) always requires LDL measurement. Obtaining a fast LDL forecast by accurate prediction can be valuable to experts. However, if a high error margin exists, LDL prediction can be critical and unusable. Our objective is LDL value and level prediction with an error less than low total acceptable error rate (% TEa).
ISSN:1303-829X
1303-829X
DOI:10.1515/tjb-2023-0154