Objective Blood glucose measurements in the intensive care unit (ICU) are typically made at
irregular intervals. This presents a challenge in choice of forecasting model. This article …

Longitudinal data with incomplete entries pose a significant challenge for clinical score
regression over multiple time points. Although many methods primarily estimate longitudinal …

With the widespread use of Internet applications, ensuring the quality and reliability of online
services has become increasingly important. Therefore, anomaly detection methods play a …

Identifying early predictors of cognitive decline and at-risk individuals is essential for timely
intervention and prevention of dementia. This study aimed to detect neurobiological …

The accurate calculation of tight sandstone reservoir permeability is crucial for optimizing
production and maximizing natural gas recovery. Traditional physical model-based …

Background: Mild Cognitive Impairment (MCI) usually precedes the symptomatic phase of
dementia and constitutes a window of opportunities for preventive therapies. Objectives: The …

This research advances a multi-input, multi-output regression approach for continually
optimizing the physical design of frequency-selective surfaces (FSS) to enhance shielding …

Accurate and reliable prediction of Alzheimer's disease (AD) progression is crucial for
effective interventions and treatment to delay its onset. Recently, deep learning models for …