A comparative evaluation of low-density lipoprotein cholesterol estimation: Machine learning algorithms versus various equations

CONCLUSIONS: The results of our research indicate that when compared to conventional equations, ML algorithms are much more effective in predicting LDL-C. ML algorithms, aided by a vast dataset, could have the capability to predict LDL-C levels even in cases where triglyceride levels are high, unlike the limited usage of Friedewald formula.PMID:38461864 | DOI:10.1016/j.cca.2024.117853
Source: International Journal of Clinical Chemistry - Category: Chemistry Authors: Source Type: research