AIMC Topic: Time Factors

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Dynamic graph-based bilateral recurrent imputation network for multivariate time series.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Multivariate time series imputation using graph neural networks (GNNs) has gained significant attention, where the variables and their correlations are depicted as the graph nodes and edges, offering a structured way to understand the intricacies of ...
Time Factors Humans Multivariate Analysis Neural Networks, Computer Algorithms
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Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Electricity is generated through various resources and then flows between regions via a complex system (grid). Imbalances in electricity generation can lead to the waste of renewable energy. As renewable energy is becoming a larger part of the grid, ...
Forecasting Neural Networks, Computer Deep Learning Electricity Renewable Energy Time Factors
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Impact of Sepsis Onset Timing on All-Cause Mortality in Acute Pancreatitis: A Multicenter Retrospective Cohort Study.

Journal of intensive care medicine Feb 18, 2025
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have examined how sepsis and its onset timing affect mortality in AP. This study evaluates the association between sepsis occurrence and all-cause mortality ...
Acute Disease Propensity Score Kaplan-Meier Estimate Pancreatitis Sepsis Time Factors Hospital Mortality Intensive Care Units Male Aged Female Humans Adult Middle Aged Risk Factors Retrospective Studies
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Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
AIM: To evaluate a deep learning-based time-of-flight (DLToF) model trained to enhance the image quality of non-ToF PET images for different tracers, reconstructed using BSREM algorithm, towards ToF images.
Image Processing, Computer-Assisted Humans Radiopharmaceuticals Deep Learning Positron-Emission Tomography Time Factors Radioactive Tracers
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TimePAD─Unveiling Temporal Sequence ELISA Signal by Deep Learning for Rapid Readout and Improved Accuracy in a Microfluidic Paper-Based Analytical Platform.

Analytical chemistry Feb 17, 2025
The integration of paper-based microfluidics with deep learning represents a pivotal trend in enhancing diagnostic capabilities. This paper introduces a new approach to improve the performance of a paper-based microfluidic enzyme-linked immunosorbent...
Immunoglobulin G Animals Rabbits Deep Learning Microfluidic Analytical Techniques Lab-On-A-Chip Devices Colorimetry Time Factors Enzyme-Linked Immunosorbent Assay Paper
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Learning temporal regularized spatial-aware deep correlation filter tracking via adaptive channel selection.

Neural networks : the official journal of the International Neural Network Society Feb 15, 2025
In recent years, deep correlation filters have demonstrated outstanding performance in robust object tracking. Nevertheless, the correlation filters encounter challenges in managing huge occlusion, target deviation, and background clutter due to the ...
Algorithms Humans Deep Learning Neural Networks, Computer Time Factors
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Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationsh...
Decision Support Techniques Databases, Factual Biomarkers Risk Factors Treatment Outcome Aged Predictive Value of Tests Retrospective Studies Cause of Death Female Humans Machine Learning Cardiac Surgical Procedures Blood Glucose Male Hospital Mortality Stress, Physiological Time Factors Middle Aged Hyperglycemia Risk Assessment
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Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: People living with diabetes mellitus (DM) and chronic kidney disease (CKD) are at significantly high risk of cardiovascular events (CVEs), however the predictive performance of traditional risk prediction methods are limited.
Heart Disease Risk Factors Middle Aged Risk Assessment Incidence Diabetes Mellitus Predictive Value of Tests Time Factors Renal Insufficiency, Chronic Humans Female Machine Learning Aged Male Decision Support Techniques Databases, Factual Prognosis
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Heterogeneous boundary synchronization of time-delayed competitive neural networks with adaptive learning parameter in the space-time discretized frames.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2025
This article presents the master-slave time-delayed competitive neural networks in space-time discretized frames(STD-CNNs) with the heterogeneous structure, induced by the design of an adaptive learning parameter in the slave STD-CNNs. This article a...
Time Factors Algorithms Computer Simulation Learning Neural Networks, Computer
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Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence.

ESC heart failure Feb 13, 2025
AIMS: Mortality risk after hospitalization for heart failure (HF) is high, especially in the first 90 days. This study aimed to construct a model automatically predicting 90 day post-discharge mortality using electronic health record (EHR) data 48 h ...
Prognosis Retrospective Studies Electronic Health Records Female Humans Artificial Intelligence Survival Rate Male Risk Assessment Time Factors Hospitalization Aged Aged, 80 and over Heart Failure ROC Curve Follow-Up Studies France Acute Disease
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