Exploring hemodynamic measurements from the Tromsø Study for prediction of cardiovascular disease using traditional statistical models and machine learning approaches.
Azulay N; Singstad BJ; Schirmer H; Løchen ML; Olsen RB; Jenssen TG; Stubhaug A; Nielsen CS · 2026 · Scientific reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
In Norway, NORRISK2 is the government-recommended risk model for predicting an individual's 10-year probability of getting cardiovascular disease (CVD). This study aims to investigate the potential for improvement of CVD prediction by…
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Metadata source: Europe PMC · DOI 10.1038/s41598-026-57003-5