Results: In the training set, LightGBM, XGBoost, and RF demonstrated the best performance among all models, with ROC-AUCs of 0.9977, 0.9311, and 0.9847, respectively. These models exhibited minimal ...
Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...
A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Morning Overview on MSN
Graphene nanodrums identify bacteria by sound in early lab tests
Researchers at TU Delft and partner organizations have built graphene sensors small enough to detect the vibrations of a ...
Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...
Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...
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