[HTML][HTML] A fast and minimal system to identify depression using smartphones: explainable machine learning–based approach
Background Existing robust, pervasive device-based systems developed in recent years to
detect depression require data collected over a long period and may not be effective in …
detect depression require data collected over a long period and may not be effective in …
Less is more: leveraging digital behavioral markers for real-time identification of loneliness in resource-limited settings
The resource-constrained nature of developing regions and also the positive impact of early
intervention show the need for a minimal and faster system to identify loneliness. However …
intervention show the need for a minimal and faster system to identify loneliness. However …
Is there any relation between smartphone usage and loneliness during the COVID-19 pandemic?: a study by exploring two objective app usage datasets
BACKGROUND: Though smartphone is popular and loneliness is higher among the youth,
in low-and-middle income countries (LMICs) such as Bangladesh, the relation of loneliness …
in low-and-middle income countries (LMICs) such as Bangladesh, the relation of loneliness …
[HTML][HTML] Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a …
Background Understanding a student's depressive symptoms could facilitate significantly
more precise diagnosis and treatment. However, few studies have focused on depressive …
more precise diagnosis and treatment. However, few studies have focused on depressive …
A rule mining and Bayesian network analysis to explore the link between depression and digital behavioral markers of games app usage
Amid the COVID-19 pandemic, spending time on Games increased much, which may impact
mental health. While numerous studies were conducted exploring the relation between …
mental health. While numerous studies were conducted exploring the relation between …
[PDF][PDF] On the Difficulty of NOT being Unique: Fingerprinting Users from Wi-Fi Data in Mobile Devices
The pervasiveness of mobile devices has fostered a multitude of services and applications,
but also raised serious privacy concerns. In order to avoid users' tracking and/or users' …
but also raised serious privacy concerns. In order to avoid users' tracking and/or users' …
A Minimal and Faster System to Identify Depression Through Smartphone: An Explainable Machine Learning-Based Approach
Background: The robust pervasive device-based existing systems to detect depression
developed in recent years requiring data collected over a long period may not be effective in …
developed in recent years requiring data collected over a long period may not be effective in …