Health Policy

Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads.

To minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was d...

A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial.

INTRODUCTION: Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy qua...

Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network.

Modern computer systems practically cannot function without a computer network. New concepts of data...

A machine learning approach to predict healthcare cost of breast cancer patients.

This paper presents a novel machine learning approach to perform an early prediction of the healthca...

Functional outcomes rather than complications predict poor health-related quality of life at 6 months after robot-assisted radical prostatectomy.

The objective is to evaluate the effect of robot-assisted radical prostatectomy (RARP)-related posto...

Prediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learning.

Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative, fatal and currently incurable disea...

Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction.

OBJECTIVE: To evaluate the cost-effectiveness of an artificial intelligence electrocardiogram (AI-EC...

No-Reference Screen Content Image Quality Assessment With Unsupervised Domain Adaptation.

In this paper, we quest the capability of transferring the quality of natural scene images to the im...

Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery.

Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral resolutio...

Design Comorbidity Portfolios to Improve Treatment Cost Prediction of Asthma Using Machine Learning.

Comorbidity is an important factor to consider when trying to predict the cost of treating asthma pa...

CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification.

Feature selection (FS) is one of the fundamental data processing techniques in various machine learn...

Microstructure, Quality, and Release Performance Characterization of Long-Acting Polymer Implant Formulations with X-Ray Microscopy and Quantitative AI Analytics.

Long-acting implants are typically formulated using carrier(s) with specific physical and chemical p...

U-Net Deep-Learning-Based 3D Cell Counter for the Quality Control of 3D Cell-Based Assays through Seed Cell Measurement.

Conventional cell-counting software uses contour or watershed segmentations and focuses on identifyi...

Editorial for "Image Quality Assessment of Fetal Brain MRI Using Multi-Instance Deep Learning Methods".

A supervised clustering MCMC methodology for large categorical feature spaces.

There is a well-established tradition within the statistics literature that explores different techn...

The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin.

Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is...

Signal-piloted processing and machine learning based efficient power quality disturbances recognition.

Significant losses can occur for various smart grid stake holders due to the Power Quality Disturban...

Selection of Muscle-Activity-Based Cost Function in Human-in-the-Loop Optimization of Multi-Gait Ankle Exoskeleton Assistance.

Using "human-in-the-loop" (HIL) optimization can obtain suitable exoskeleton assistance patterns to ...

A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China.

Accurate and reliable water quality forecasting is of great significance for water resource optimiza...

Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios.

Groundwater is one of the most important freshwater resources, especially in arid and semi-arid regi...

Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canine.

OBJECTIVES: The aim of the present study was to create and test an automatic system for assessing th...