Abstract Graph Convolutional Networks (GCNs) have shown significant improvements in
semi-supervised learning on graph-structured data. Concurrently, unsupervised learning of …

In maritime transportation, port state control (PSC) is the last line of defense against
substandard ships. During a PSC inspection, PSC officers (PSCOs) identify ship deficiencies …

Technological advances have enabled the collection of large quantities of valuable data for
health-related use. Particularly, a growing number of scholars are paying attention to the …

Deep learning (DL) techniques provide highly accurate disease predictions by extracting
implicit higher-order correlations between features. However, DL opinions are not advisable …

Port state control (PSC) is the last line of defense for substandard ships. During a PSC
inspection, ship detention is the most severe result if the inspected ship is identified with …

Recent decades have seen considerable advances in developing Industrial Engineering/
Operations Research (IE/OR) models for improving decision-making in healthcare. These …

This paper examines whether standard scheduling processes for elective surgeries
inadvertently contribute to health inequalities across social groups. Using data from 169,510 …

Mathematical programming-based methods are widely used to generate separating
boundaries in two-group classification problems. Nonlinear separating boundaries may …

Health analytics is a business-driven term encompassing a vast spectrum of business
intelligence applications in the healthcare sector that rely on insights generated from big …

Technological advances in biomarkers and imaging tests are creating new avenues to
advance precision health for early detection of cancer. These advances have resulted in …