Article
Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.
Cardiology journal - 1 Jan 2024
Sokolski Mateusz, Trenson Sander, Reszka Konrad, Urban Szymon, Sokolska Justyna M, Biering-Sørensen Tor, Højbjerg Lassen Mats C, Skaarup Kristoffer Grundtvig, Basic Carmen, Mandalenakis Zacharias, Ablasser Klemens, Rainer Peter P, Wallner Markus, Rossi Valentina A, Lilliu Marzia, Loncar Goran, Cakmak Huseyin A, Ruschitzka Frank, Flammer Andreas J
Abstract excerpt
IMTRODUCTION: The high-risk population of patients with cardiovascular (CV) disease or risk factors (RF) suffering from COVID-19 is heterogeneous. Several predictors for impaired prognosis have been identified. However, with machine learning (ML) approaches, certain phenotypes may be confined to classify the affected population and to predict outcome. This study aimed to phenotype patients using unsupervised ML...
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