Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
EHR-embedded predictive analytics help life sciences companies translate real-world evidence into action at the moment of care for healthcare teamsPALO ALTO, Calif. & MCLEAN, Va.--(BUSINESS ...
Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Early detection of individuals at high risk of disease onset is crucial for health-care systems to cope ...
Abstract: This study presents a cascaded predictive model for estimating photovoltaic solar energy generation, structured in two sequential Machine Learning (ML) stages. In the first stage, supervised ...
This study retrospectively collected data from 1,128 patients who underwent general anesthesia at Sir Run Run Shaw Hospital, affiliated with Zhejiang University School of Medicine, from January 2021 ...
A total of 46 variables were included in the final dataset, comprising demographic information, cardiovascular history, and laboratory measurements. These features included: gender, age, total ...
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