The use of advanced technology and statistical methods to predict and prevent suicide
In the past decade, two themes have emerged across suicide research. First, according to
meta-analyses, the ability to predict and prevent suicidal thoughts and behaviours is weaker …
meta-analyses, the ability to predict and prevent suicidal thoughts and behaviours is weaker …
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review
Research has posited that machine learning could improve suicide risk prediction models,
which have traditionally performed poorly. This systematic review and meta-analysis …
which have traditionally performed poorly. This systematic review and meta-analysis …
[HTML][HTML] Expectations for artificial intelligence (AI) in psychiatry
Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …
technology for clinical medicine even though the current technology maturity of AI is low. The …
Snapshots of daily life: Situations investigated through the lens of smartphone sensing.
R Schoedel, F Kunz, M Bergmann… - Journal of Personality …, 2023 - psycnet.apa.org
Daily life unfolds in a sequence of situational contexts, which are pivotal for explaining
people's thoughts, feelings, and behaviors. While situational data were previously difficult to …
people's thoughts, feelings, and behaviors. While situational data were previously difficult to …
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
Convolutional neural networks have enabled significant improvements in medical image-
based diagnosis. It is, however, increasingly clear that these models are susceptible to …
based diagnosis. It is, however, increasingly clear that these models are susceptible to …
Sleep problems predict next-day suicidal thinking among adolescents: A multimodal real-time monitoring study following discharge from acute psychiatric care
Suicidal thoughts and behaviors (STBs) are major public health concerns among
adolescents, and research is needed to identify how risk is conferred over the short term …
adolescents, and research is needed to identify how risk is conferred over the short term …
[HTML][HTML] The Hitchhiker's guide to longitudinal models: A primer on model selection for repeated-measures methods
Longitudinal data are becoming increasingly available in developmental neuroimaging. To
maximize the promise of this wealth of information on how biology, behavior, and cognition …
maximize the promise of this wealth of information on how biology, behavior, and cognition …
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
BackgroundUse of intensive longitudinal methods (eg ecological momentary assessment,
passive sensing) and machine learning (ML) models to predict risk for depression and …
passive sensing) and machine learning (ML) models to predict risk for depression and …
Responsible and regulatory conform machine learning for medicine: a survey of challenges and solutions
E Petersen, Y Potdevin, E Mohammadi… - IEEE …, 2022 - ieeexplore.ieee.org
Machine learning is expected to fuel significant improvements in medical care. To ensure
that fundamental principles such as beneficence, respect for human autonomy, prevention of …
that fundamental principles such as beneficence, respect for human autonomy, prevention of …
[HTML][HTML] Real-time real-world digital monitoring of adolescent suicide risk during the six months following emergency department discharge: Protocol for an intensive …
S Barzilay, S Fine, S Akhavan… - JMIR research …, 2023 - researchprotocols.org
Background: Suicide is the second leading cause of death in adolescents, and self-harm is
one of the strongest predictors of death by suicide. The rates of adolescents presenting to …
one of the strongest predictors of death by suicide. The rates of adolescents presenting to …