Even though the demand of head computed tomography (CT) in patients with mild traumatic
brain injury (TBI) has progressively increased worldwide, only a small number of individuals …

Background The aims of this study were 1) to clarify the prevalence of sleep problems
(insomnia, insufficient sleep, and delayed sleep-wake phase) among Japanese university …

Providing an accurate prognosis for individual dementia patients remains a challenge since
they greatly differ in rates of cognitive decline. In this study, we used machine learning …

Background Wars do not only affect combatant countries, populations in neutral zones can
be afflicted by circumjacent conflicts as well, posing a great health burden on mothers and …

Background: Depression is a highly prevalent mental health issue that exacts significant
economic, societal, personal, and interpersonal costs. Innovative internet-delivered …

This study aims to evaluate the effect of social capital (SC), social support (SS), and social
network formation (SNF) on the quality of life of American adults during COVID-19. Using a …

Background The current COVID-19 pandemic is unprecedented; under resource-
constrained settings, predictive algorithms can help to stratify disease severity, alerting …

Objectives. To compare all-cause mortality of unvaccinated oncology patients who received
chemotherapy or immunotherapy during the pandemic with those treated before the …

The present study aimed to examine the interrelationships of prenatal psychopathology
(specifically symptom cluster), dispositional mindfulness, and rumination using network …

Environmental health research aims to assess the impact of environmental exposures,
making it crucial to understand their effects due to their broad impacts on the general …