AIMC Topic: Time Factors

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Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2024
This paper is concerned with the input-to-state stability (ISS) for a kind of delayed memristor-based inertial neural networks (DMINNs). Based on the nonsmooth analysis and stability theory, novel delay-dependent and delay-independent criteria on the...
Neural Networks, Computer Nonlinear Dynamics Algorithms Computer Simulation Time Factors
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Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This study is centered around the dynamic behaviors observed in a class of fractional-order generalized reaction-diffusion inertial neural networks (FGRDINNs) with time delays. These networks are characterized by differential equations involving two ...
Neural Networks, Computer Algorithms Computer Simulation Nonlinear Dynamics Feedback Time Factors
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A systematic literature review of predicting patient discharges using statistical methods and machine learning.

Health care management science Jul 22, 2024
Discharge planning is integral to patient flow as delays can lead to hospital-wide congestion. Because a structured discharge plan can reduce hospital length of stay while enhancing patient satisfaction, this topic has caught the interest of many hea...
Time Factors Models, Statistical Patient Discharge Forecasting Length of Stay Humans Machine Learning
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Identifying high-risk Fontan phenotypes using K-means clustering of cardiac magnetic resonance-based dyssynchrony metrics.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 14, 2024
BACKGROUND: Individuals with a Fontan circulation encompass a heterogeneous group with adverse outcomes linked to ventricular dilation, dysfunction, and dyssynchrony. The purpose of this study was to assess if unsupervised machine learning cluster an...
Unsupervised Machine Learning Predictive Value of Tests Ventricular Dysfunction, Left Child Treatment Outcome Cluster Analysis Heart Defects, Congenital Magnetic Resonance Imaging, Cine Myocardial Contraction Adult Adolescent Image Interpretation, Computer-Assisted Female Time Factors Biomechanical Phenomena Ventricular Function, Left Heart Transplantation Risk Factors Humans Male Risk Assessment Young Adult Fontan Procedure Phenotype Retrospective Studies
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Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
This paper deals with the lag projective synchronization (LPS) problem for a class of discrete-time fractional-order quaternion-valued neural networks(DTFO QVNNs) systems with time delays. Firstly, a DTFOQVNNs system with time delay is constructed. S...
Time Factors Nonlinear Dynamics Linear Models Algorithms Computer Simulation Feedback Neural Networks, Computer
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Improved switching condition for reachable set estimation of discrete-time switched delayed neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 10, 2024
This research delves into the reachable set estimation (RSE) problem for general switched delayed neural networks (SDNNs) in the discrete-time context. Note that existing relevant research on SDNNs predominantly relies on either time-dependent or sta...
Computer Simulation Time Factors Neurons Humans Neural Networks, Computer Algorithms
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PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 6, 2024
Temporal Knowledge Graphs (TKGs) enable effective modeling of knowledge dynamics and event evolution, facilitating deeper insights and analysis into temporal information. Recently, extrapolation of TKG reasoning has attracted great significance due t...
Algorithms Time Factors Semantics Knowledge Humans Neural Networks, Computer Machine Learning
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Deep learning prediction of survival in patients with heart failure using chest radiographs.

The international journal of cardiovascular imaging Jul 5, 2024
Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learning survival prediction models using chest radiographs in patients with heart failure is currently unclear. The aim of our study is to develop and val...
Risk Factors Aged Aged, 80 and over Male Retrospective Studies Female Reproducibility of Results Time Factors Predictive Value of Tests Heart Failure Radiography, Thoracic Middle Aged Risk Assessment Deep Learning Decision Support Techniques Prognosis Humans
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An auto-segmented multi-time window dual-scale neural network for brain-computer interfaces based on event-related potentials.

Journal of neural engineering Jul 5, 2024
Event-related potentials (ERPs) are cerebral responses to cognitive processes, also referred to as cognitive potentials. Accurately decoding ERPs can help to advance research on brain-computer interfaces (BCIs). The spatial pattern of ERP varies with...
Humans Neural Networks, Computer Female Time Factors Electroencephalography Young Adult Brain-Computer Interfaces Evoked Potentials Adult Male
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External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease.

Journal of nephrology Jul 4, 2024
BACKGROUND: Chronic kidney disease (CKD) is associated with increased mortality. Individual mortality prediction could be of interest to improve individual clinical outcomes. Using an independent regional dataset, the aim of the present study was to ...
Cause of Death Renal Insufficiency, Chronic Predictive Value of Tests Area Under Curve Aged Humans Female Time Factors Male Reproducibility of Results Risk Assessment Machine Learning ROC Curve Middle Aged Risk Factors Severity of Illness Index Prognosis
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