Hello! This Web page is aimed at shedding some light on the perennial R-vs.-Python debates in the Data Science community. This is largely (though not exclusively) a debate between the Statistics (R) ...
Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...
Coffee is one of the most commonly consumed beverages in the world, but the acute health effects of coffee consumption remain uncertain. We conducted a prospective, randomized, case-crossover trial to ...
Abstract: The rapid development of sensor technologies allows the acquisition of high dimensional sensing data. Multi-output modeling techniques have been developed to leverage the data for decision ...
Biological systems function through complex interactions between various ‘omics (biomolecules), and a more complete understanding of these systems is only possible through an integrated, multi-omic ...
Aldosterone synthase controls the synthesis of aldosterone and has been a pharmacologic target for the treatment of hypertension for several decades. Selective inhibition of aldosterone synthase is ...
Introduction The QCOVID algorithm is a risk prediction tool for infection and subsequent hospitalisation/death due to SARS-CoV-2. At the time of writing, it is being used in important policy-making ...
Copyright: © 2020 The Author(s). Published by Elsevier Ltd. We created and validated two versions of a deep-learning system to predict the development of diabetic ...
Objective To derive and validate a risk prediction algorithm to estimate hospital admission and mortality outcomes from coronavirus disease 2019 (covid-19) in adults. Design Population based cohort ...
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