Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment
Mental health disorders—including depression, anxiety, trauma-related, and psychotic
conditions—are pervasive and impairing, representing considerable challenges for both …
conditions—are pervasive and impairing, representing considerable challenges for both …
Preoperative mobile health data improve predictions of recovery from lumbar spine surgery
METHODS: Patients age 21–85 years undergoing lumbar surgery for degenerative disease
between 2021 and 2023 were recruited. For up to 3 weeks preoperatively, participants …
between 2021 and 2023 were recruited. For up to 3 weeks preoperatively, participants …
Identifying factors impacting missingness within smartphone-based research: Implications for intensive longitudinal studies of adolescent suicidal thoughts and …
Intensive longitudinal research—including experience sampling and smartphone sensor
monitoring—has potential for identifying proximal risk factors for psychopathology, including …
monitoring—has potential for identifying proximal risk factors for psychopathology, including …
[HTML][HTML] Ecological Momentary Assessment of Self-Harm Thoughts and Behaviors: Systematic Review of Constructs From the Integrated Motivational-Volitional Model
Background The integrated motivational-volitional model (IMV) is one of the leading
theoretical models of suicidal thoughts and behavior. There has been a recent proliferation …
theoretical models of suicidal thoughts and behavior. There has been a recent proliferation …
Examining missingness at the momentary level in clinical research using ecological momentary assessment: Implications for suicide research
The use of intensive time sampling methods, such as ecological momentary assessment
(EMA), has increased in clinical, and specifically suicide, research during the past decade …
(EMA), has increased in clinical, and specifically suicide, research during the past decade …
Predicting suicidal ideation from irregular and incomplete time series of questionnaires in a smartphone-based suicide prevention platform: a pilot study
Over 700,000 people die by suicide annually. Collecting longitudinal fine-grained data
about at-risk individuals, as they occur in the real world, can enhance our understanding of …
about at-risk individuals, as they occur in the real world, can enhance our understanding of …
A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors
Passive sensing data from smartphones and wearables may help improve the prediction of
suicidal thoughts and behaviors (STB). In this systematic review, we explored the feasibility …
suicidal thoughts and behaviors (STB). In this systematic review, we explored the feasibility …
Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks
Abstract Introduction Ecological Momentary Assessment (EMA) holds promise for providing
insights into daily life experiences when studying mental health phenomena. However …
insights into daily life experiences when studying mental health phenomena. However …
Automatically extracting social determinants of health for suicide: a narrative literature review
AM Schoene, S Garverich, I Ibrahim, S Shah… - npj Mental Health …, 2024 - nature.com
Suicide is a complex phenomenon that is often not preceded by a diagnosed mental health
condition, therefore making it difficult to study and mitigate. Artificial Intelligence has …
condition, therefore making it difficult to study and mitigate. Artificial Intelligence has …