Background American Academy of Sleep Medicine guidelines suggest that clinical
prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) …

Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Sleep apnea is a common disorder that can cause pauses in breathing and can last from a
few seconds to several minutes, as well as shallow breathing or complete cessation of …

The application of artificial intelligence technologies is growing in several fields of
healthcare settings. The aim of this article is to review the current applications of artificial …

Obstructive Sleep Apnea Syndrome (OSAS) and Major Depressive Disorder (MDD) are
common conditions associated with poor quality of life. In this work, we aim to classify OSAS …

This study investigated the relationship between Metabolic Syndrome (MetS), sleep
disorders, the consumption of some nutrients, and social development factors, focusing on …

Objective Depression is very common and harmful in patients with obstructive sleep apnea
hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression …

Our study's main purpose is to emphasise the significance of medical knowledge of
pathophysiology before machine learning. We investigated whether combining domain …

Introduction The maximum body mass index (BMI) before onset of type 2 diabetes (MBBO)
might be used to estimate a patient's insulin secretion capacity. There have been few factors …

This research paper presents a comprehensive bibliometric analysis unveiling insights into
the global landscape of research in facial recognition for cyber security. Leveraging data …