AIMC Topic: Time Factors

Clear Filters Showing 31 to 40 of 1929 articles

SSSLN:Multivariate Time Series Forecasting via Collaborative Dynamic Graph Learning.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2025
Multivariate time series (MTS) forecasting has achieved notable progress through graph modeling. However, existing approaches often face two key challenges. First, traditional dynamic graph learning (DGL) methods typically maintain dynamic graphs dir...
Forecasting Time Factors Semantics Multivariate Analysis Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Female Reproducibility of Results Aged Deep Learning Time Factors Male Middle Aged Humans Image Interpretation, Computer-Assisted Coronary Vessels Observer Variation Magnetic Resonance Angiography Predictive Value of Tests Automation Computed Tomography Angiography Coronary Angiography Coronary Artery Disease
View on PubMed DOI

Artificial Delayed-phase Technetium-99m MIBI Scintigraphy From Early-phase Scintigraphy Improves Identification of Hyperfunctioning Parathyroid Lesions in Patients With Hyperparathyroidism.

Clinical nuclear medicine Apr 24, 2025
PURPOSE: The aim of this study was to generate and validate artificial delayed-phase technetium-99m methoxyisobutylisonitrile scintigraphy (aMIBI) images from early-phase technetium-99m methoxyisobutylisonitrile scintigraphy (eMIBI) images.
Radionuclide Imaging Technetium Tc 99m Sestamibi Organotechnetium Compounds ROC Curve Hyperparathyroidism Parathyroid Glands Retrospective Studies Female Aged Middle Aged Time Factors Adult Male Humans
View on PubMed DOI

An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values.

BMC medical research methodology Apr 24, 2025
INTRODUCTION: Machine learning models have been employed to predict COVID-19 infections and mortality, but many models were built on training and testing sets from different periods. The purpose of this study is to investigate the impact of temporali...
Time Factors Logistic Models Models, Statistical Humans Machine Learning COVID-19 SARS-CoV-2 Brazil
View on PubMed DOI

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Science progress Apr 24, 2025
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated with high mortality rates, particularly when kidney replacement therapy (KRT) becomes necessary. The optimal timing for initiating KRT remains a subject ...
Time Factors Acute Kidney Injury Humans Critical Illness Artificial Intelligence Renal Replacement Therapy Intensive Care Units
View on PubMed DOI

Integrated codec decomposed Transformer for long-term series forecasting.

Neural networks : the official journal of the International Neural Network Society Apr 23, 2025
Recently, Transformer-based and multilayer perceptron (MLP) based architectures have formed a competitive landscape in the field of time series forecasting. There is evidence that series decomposition can further enhance the model's ability to percei...
Time Factors Humans Seasons Neural Networks, Computer Forecasting
View on PubMed DOI

Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis.

BMC cardiovascular disorders Apr 23, 2025
INTRODUCTION: Percutaneous coronary intervention (PCI) has been the main treatment of coronary artery disease (CAD). In this review, we aimed to compare the performance of machine learning (ML) vs. logistic regression (LR) models in predicting differ...
Percutaneous Coronary Intervention Coronary Artery Disease Humans Time Factors Machine Learning Treatment Outcome Decision Support Techniques Predictive Value of Tests Aged Male Middle Aged Risk Assessment Female Reproducibility of Results Risk Factors
View on PubMed DOI

Time series compression using quaternion valued neural networks and quaternion backpropagation.

Neural networks : the official journal of the International Neural Network Society Apr 22, 2025
We propose a novel quaternionic time series compression methodology where we divide a long time series into segments of data, extract the min, max, mean and standard deviation of these chunks as representative features and encapsulate them in a quate...
Neural Networks, Computer Algorithms Time Factors Data Compression Humans
View on PubMed DOI

Early prediction of shock in intensive care unit patients by machine learning using discrete electronic health record data.

Journal of critical care Apr 22, 2025
PURPOSE: To use machine learning to predict new-onset shock for at-risk intensive care unit (ICU) patients based on discrete vital sign data from the electronic health record.
Aged Male Middle Aged Electronic Health Records Female Hospitalization Logistic Models Machine Learning Predictive Value of Tests Humans Risk Assessment Intensive Care Units Shock Time Factors Vital Signs Hospital Mortality
View on PubMed DOI

Towards real-time conformal palliative treatment of spine metastases: A deep learning approach for Hounsfield Unit recovery of cone beam CT images.

Medical physics Apr 21, 2025
BACKGROUND: The extension of onboard cone-beam CT (CBCT) imaging for real-time treatment planning is constrained by limitations in image quality. Synthetic CT (sCT) generation using deep learning provides a potential solution to these limitations.
Radiotherapy, Conformal Spinal Neoplasms Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Palliative Care Time Factors Cone-Beam Computed Tomography Humans Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals