AIMC Topic: Time Factors
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Predicting mortality risk following major lower extremity amputation using machine learning.
Journal of vascular surgery
Jun 4, 2025
OBJECTIVE: Major lower extremity amputation for advanced vascular disease involves significant perioperative risks. Although outcome prediction tools could aid in clinical decision-making, they remain limited. To address this, we developed machine le...
Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.
BMC medical informatics and decision making
Jun 3, 2025
BACKGROUND: Timely prehospital care is crucial for patients presenting with high-risk time-sensitive (HRTS) conditions. However, the interplay between response time and demographic factors in patients with breathing problems remains insufficiently un...
Analysis of the heterogeneous treatment effect of vasoactive drug dosage and time on hospital mortality across different sepsis phenotypes: a retrospective cohort study.
European journal of medical research
May 24, 2025
BACKGROUND: The heterogeneity of sepsis poses challenges for the individualized treatment of vasoactive drugs.
Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.
JMIR formative research
May 23, 2025
BACKGROUND: Postpartum depression (PPD) is a mood disorder affecting 1 in 7 women after childbirth that is often underscreened and underdetected. If not diagnosed and treated, PPD is associated with long-term developmental challenges in the child and...
Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing.
Neural networks : the official journal of the International Neural Network Society
May 22, 2025
This paper presents the D-type distributed iterative learning control protocol to synchronize fractional-order competitive neural networks with time delay within a finite time frame. Firstly, the input sharing strategy of such desired competitive neu...
Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population.
Cardiovascular diabetology
May 21, 2025
BACKGROUND AND OBJECTIVE: Atherogenicity indices have emerged as promising markers for cardiometabolic disorders, yet their relationship with prediabetes risk remains unclear. This study aimed to comprehensively evaluate the associations between six ...
Dual-stream interactive networks with pearson-mask awareness for multivariate time series forecasting.
Neural networks : the official journal of the International Neural Network Society
May 17, 2025
Multivariate time series forecasting (MTSF) aims to predict time series data containing multiple variates, which requires the consideration of both intra-series temporal trends and inter-series interactions. Benefiting from the success of Transformer...
Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
May 1, 2025
Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practice in radiopharmaceutical therapy (RPT) compared with conventional multiple-time-point image-based dosimetry. Despite numerous advancements, current ST...
Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.
The international journal of cardiovascular imaging
Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Humans
Female
Reproducibility of Results
Time Factors
Magnetic Resonance Imaging
Predictive Value of Tests
Atrial Fibrillation
Aged
Male
Middle Aged
Deep Learning
Magnetic Resonance Imaging, Cine
Observer Variation
Automation
Heart Atria
Blood Flow Velocity
Heart Rate
Atrial Function, Left
Image Interpretation, Computer-Assisted
Spectral integrated neural networks with large time steps for 2D and 3D transient elastodynamic analysis.
Neural networks : the official journal of the International Neural Network Society
Apr 27, 2025
This paper provides a neural network architecture, called spectral integrated neural networks (SINNs), designed to tackle two- and three-dimensional elastodynamic problems. In the SINNs, the second-order time derivatives of displacements are approxim...
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