Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
Advanced Intelligent Systems, EarlyView.This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization. [PDF]
Sci RepXiao F, Shi B, Gao J, Chen H, Yang D.
europepmc +1 more source
Bayesian Neural Networks for Selection of Drug Sensitive Genes. [PDF]
J Am Stat Assoc, 2018 Liang F, Li Q, Zhou L.
europepmc +1 more source
Bayesian methods for neural networks [PDF]
, 1995 Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a potential solution to the ...
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Hub genes and diagnostic model associated with mitochondrial function in Alzheimer's disease
Animal Models and Experimental Medicine, EarlyView.Alzheimer's disease (AD) is the most common neurodegenerative disorder, and mitochondrial dysfunction has been confirmed in AD patients and mouse models. However, the pathogenic genes associated with AD and early diagnostic methods based on mitochondrial function remain to be explored.
Xuchao Zhu, Ling Zhang, Chuan Qin
wiley +1 more source
Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks. [PDF]
J Biomed OptManojlović T +3 more
europepmc +1 more source
Predicting the Survival of Gastric Cancer Patients Using Artificial and Bayesian Neural Networks [PDF]
Asian Pac J Cancer Prev, 2018 Korhani Kangi A, Bahrampour A.
europepmc +1 more source
Arthritis &Rheumatology, EarlyView.Objectives The aim of this study is to generate hypotheses about unknown drugs associated with the onset or worsening of Raynaud's phenomenon (RP) and to explore their potential pathophysiologic mechanisms through a mixed disproportionality/clustering analysis from the World Health Organization (WHO) pharmacovigilance database.
Alex Hlavaty +4 more
wiley +1 more source
Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks. [PDF]
Sci RepLi L +5 more
europepmc +1 more source