Related Experiment Video

Updated: Sep 19, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K

Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on

Erik Perfalk1,2, Jakob Grøhn Damgaard1,2, Martin Bernstorff1,2

  • 1Department of Affective Disorders, https://ror.org/040r8fr65Aarhus University Hospital - Psychiatry, Aarhus, Denmark.

Psychological Medicine
|June 16, 2025
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Related Experiment Videos

Last Updated: Sep 19, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K

Articles linked to this work by shared authors, journal, and citation graph.

Electroconvulsive Therapy in Denmark From 2017 to 2025: A Nationwide Register-Based Study.

The journal of ECT·2026

Delayed Diabetes Treatment and Persistent Hyperglycemia among Individuals with Schizophrenia: a Nationwide Register-Based Study.

Schizophrenia bulletin·2026

Development and evaluation of machine learning models to predict mechanical restraint and related coercive measures in hospital psychiatry.

Nordic journal of psychiatry·2026

It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

JMIR mental health·2026

Local Economic Inequality and Depression: Evidence From Longitudinal Data on Local Residential Contexts and Antidepressant Use.

Psychological science·2026

Predicting the need for electroconvulsive therapy via machine learning trained on electronic health record data.

Acta neuropsychiatrica·2026

Phenotypic and genetic relations between attention-deficit/hyperactivity disorder and substance use disorders.

Psychological medicine·2026

Re-evaluating the predictive value of reinforcement motivation on outcome in anorexia nervosa: The role of affective symptoms.

Psychological medicine·2026

Psychosocial interventions for posttraumatic stress disorder in low- and middle-income countries: a Bayesian meta-analysis.

Psychological medicine·2026

Altered glutamate concentration in major depressive disorder during antidepressant treatment: A glutamate CEST MRI study.

Psychological medicine·2026

Connectome gradient dysfunction in earthquake-induced posttraumatic stress disorder and its association with gene expression and neurotransmitter profiles.

Psychological medicine·2026

Recent stressful life events, immunometabolic markers, and risk of schizophrenia: A prospective cohort study.

Psychological medicine·2026

Self-supervised transformers predict dynamics of object-based attention in humans.

Proceedings of the ... Conference on Cognitive Computational Neuroscience·2026

From tracking data to ecologically grounded tactical indicators: a conceptual validation procedure for team invasion sports.

Frontiers in psychology·2026

Towards precision medicine: Application of the structural causal model in psychiatry.

General psychiatry·2026

Feature Copy-Paste with Fine-Grained Data Augmentation for Robust Lung Cancer Analysis in CT Images.

Journal of imaging informatics in medicine·2026

Neural and computational mechanisms of embodied learning: From brain-body interaction to translational applications.

Journal of sport and health science·2026

MEDAL: Sequential adapter learning for privacy-preserving multicenter clinical language models.

Journal of biomedical informatics·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
Jove
Visualize
Contact Us