[HTML][HTML] Digital phenotyping of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
GLOBEM dataset: multi-year datasets for longitudinal human behavior modeling generalization
Recent research has demonstrated the capability of behavior signals captured by
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …
Nightly sleep duration predicts grade point average in the first year of college
Academic achievement in the first year of college is critical for setting students on a pathway
toward long-term academic and life success, yet little is known about the factors that shape …
toward long-term academic and life success, yet little is known about the factors that shape …
Leveraging collaborative-filtering for personalized behavior modeling: a case study of depression detection among college students
The prevalence of mobile phones and wearable devices enables the passive capturing and
modeling of human behavior at an unprecedented resolution and scale. Past research has …
modeling of human behavior at an unprecedented resolution and scale. Past research has …
College from home during COVID-19: A mixed-methods study of heterogeneous experiences
This mixed-method study examined the experiences of college students during the COVID-
19 pandemic through surveys, experience sampling data collected over two academic …
19 pandemic through surveys, experience sampling data collected over two academic …
[HTML][HTML] Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review
A Choi, A Ooi, D Lottridge - JMIR mHealth and uHealth, 2024 - mhealth.jmir.org
Background: Unaddressed early-stage mental health issues, including stress, anxiety, and
mild depression, can become a burden for individuals in the long term. Digital phenotyping …
mild depression, can become a burden for individuals in the long term. Digital phenotyping …
Food, mood, context: Examining college students' eating context and mental well-being
Deviant eating behavior such as skipping meals and consuming unhealthy meals has a
significant association with mental well-being in college students. However, there is more to …
significant association with mental well-being in college students. However, there is more to …
From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models
Passively collected behavioral health data from ubiquitous sensors holds significant promise
to provide mental health professionals insights from patient's daily lives; however …
to provide mental health professionals insights from patient's daily lives; however …
Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic
Understanding the dynamics of mental health among undergraduate students across the
college years is of critical importance, particularly during a global pandemic. In our study, we …
college years is of critical importance, particularly during a global pandemic. In our study, we …
Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
Increased stability in one's daily routine is associated with well-being in the general
population and often a goal of behavioral interventions for people with serious mental …
population and often a goal of behavioral interventions for people with serious mental …