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Machine learning LDL-C equation comparable to original Martin-Hopkins
A simplified machine learning-based low-density lipoprotein cholesterol (LDL-C) equation provides results that are comparable to the original Martin-Hopkins equation, according to a study published online July 15 in JAMA Cardiology.
AI Summary
A recent study has found that a simplified machine learning-based equation for calculating low-density lipoprotein cholesterol (LDL-C) yields comparable results to the original Martin-Hopkins equation. This development is significant because it suggests that a more streamlined approach to calculating LDL-C may be viable, potentially offering a more efficient alternative to existing methods.
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