In times of stress or danger, the autonomic nervous system (ANS) signals the fight or flight
response. A canonical function of ANS activity is to globally mobilize metabolic resources …

Digital health applications using Artificial Intelligence (AI) are a promising opportunity to
address the widening gap between available resources and mental health needs globally …

Vaccines are among the most powerful tools to combat the COVID-19 pandemic. They are
highly effective against infection and substantially reduce the risk of severe disease …

Internet of Things (IoT) has the most significance in the intelligent healthcare service
provision because of the wealth of data from disparate sources. By using the applications …

Depression is a prevalent mental condition that is challenging to diagnose using
conventional techniques. Using machine learning and deep learning models with motor …

As smartphone and wearable tracking devices have grown in popularity, more individuals
have begun collecting their own health data. While these data are often perceived as a …

Introduction Despite the high prevalence of major depressive disorder (MDD) among the
elderly population, the rate of treatment is low due to stigmas and barriers to medical access …

The objective of this work was to adapt and evaluate the performance of a Bayesian hybrid
model to characterize objective temporal medication ingestion parameters from two clinical …

Affective states are associated with people's mental health status and have profound impact
on daily life, thus unobtrusively understanding and estimating affects have been brought to …

Background Proactive detection of mental health needs among people with diabetes
mellitus could facilitate early intervention, improve overall health and quality of life, and …