Article
Data-driven multivariate population subgrouping via lipoprotein phenotypes versus apolipoprotein B in the risk assessment of coronary heart disease.
Atherosclerosis - 1 Feb 2020
Ohukainen Pauli, Kuusisto Sanna, Kettunen Johannes, Perola Markus, Järvelin Marjo-Riitta, Mäkinen Ville-Petteri, Ala-Korpela Mika
Abstract excerpt
BACKGROUND AND AIMS: Population subgrouping has been suggested as means to improve coronary heart disease (CHD) risk assessment. We explored here how unsupervised data-driven metabolic subgrouping, based on comprehensive lipoprotein subclass data, would work in large-scale population cohorts. METHODS: We applied a self-organizing map (SOM) artificial intelligence methodology to define subgroups based on detailed...
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