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Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Digital phenoty** for mental health of college students: a clinical review
Experiencing continued growth in demand for mental health services among students,
colleges are seeking digital solutions to increase access to care as classes shift to remote …
colleges are seeking digital solutions to increase access to care as classes shift to remote …
Improving mental health services: A 50-year journey from randomized experiments to artificial intelligence and precision mental health
This conceptual paper describes the current state of mental health services, identifies critical
problems, and suggests how to solve them. I focus on the potential contributions of artificial …
problems, and suggests how to solve them. I focus on the potential contributions of artificial …
[HTML][HTML] Digital biomarkers of social anxiety severity: digital phenoty** using passive smartphone sensors
Background Social anxiety disorder is a highly prevalent and burdensome condition.
Persons with social anxiety frequently avoid seeking physician support and rarely receive …
Persons with social anxiety frequently avoid seeking physician support and rarely receive …
[HTML][HTML] Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …
and other physiological parameters and is commonly implemented in wearable devices …
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from …
Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …
patterns, physiological activation, and physical environment. Nevertheless, little research …
Physical activity recognition based on deep learning using photoplethysmography and wearable inertial sensors
Human activity recognition (HAR) extensively uses wearable inertial sensors since this data
source provides the most information for non-visual datasets' time series. HAR research has …
source provides the most information for non-visual datasets' time series. HAR research has …
Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …
not only the physical state but also the mental health of the general population, particularly …
Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework
When extreme, anxiety can become debilitating. Anxiety disorders, which often first emerge
early in development, are common and challenging to treat, yet the underlying mechanisms …
early in development, are common and challenging to treat, yet the underlying mechanisms …
Social context and the real-world consequences of social anxiety
BackgroundSocial anxiety lies on a continuum, and young adults with elevated symptoms
are at risk for develo** a range of psychiatric disorders. Yet relatively little is known about …
are at risk for develo** a range of psychiatric disorders. Yet relatively little is known about …