Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Background Aortic valve calcification (AVC) is a disease process driven by inflammation and lipid infiltration, serving as a ...
Background Current diagnosis of antiphospholipid syndrome (APS) relies on antiphospholipid antibodies (aPL) testing, but false-positive aPL results and asymptomatic aPL carriers pose significant ...
Early sexual activity, often defined as initiation before 16, is a risky behaviour associated with many negative social and health outcomes. Sexual norms restricting sex till marriage have declined in ...
Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...
Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...
Guzmán, P. and Halpern, M. (2026) Effects of Treatment Delays on Colorectal Cancer Survival. Journal of Cancer Therapy, 17, ...
In a retrospective cohort study examining patterns of peripheral artery disease (PAD) diagnosis in United States primary care s ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) ...
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