Machine learning-based prediction of LDL cholesterol: performance evaluation and validation
Objective This study aimed to validate and optimize a machine learning algorithm for accurately predicting low-density lipoprotein cholesterol (LDL-C) levels, addressing limitations of traditional formulas, particularly in hypertriglyceridemia. Methods Various machine learning models—linear regressi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-04-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/19248.pdf |
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