Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...
NVIDIA Corporation sees continued market attention following rating reaffirmations and target revisions across research firms ...
Abstract: Visualization for explainable and trustworthy machine learning remains one of the most important and heavily researched fields within information visualization and visual analytics with ...
Introduction: Right ventricular failure (RVF) is a major adverse event following left ventricular assist device (LVAD) implantation. The complex mechanisms involved make it challenging to accurately ...
An end-to-end machine learning project for predicting patient triage priority from free-text symptom descriptions using both traditional ML models and modern transformer-based approaches. Triage Text ...
Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
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