Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Showing 1891-1911 of 5,967 articles
Immune-based Machine learning Prediction of Diagnosis and Illness State in Schizophrenia and Bipolar Disorder.

BACKGROUND: Schizophrenia and bipolar disorder frequently face significant delay in diagnosis, leadi...

Aug 2024 39151650
Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the...

Aug 2024 39143145
A Deep Learning-Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders.

BACKGROUND: Psychiatric disorders are traditionally classified within diagnostic categories, but thi...

Aug 2024 39142534
Predicting the trajectory of non-suicidal self-injury among adolescents.

BACKGROUND: Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiat...

Aug 2024 39136673
Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach.

BACKGROUND: Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The inci...

Aug 2024 39147147
Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence.

BACKGROUND: Prevalence of suicidal behaviour increases rapidly in middle to late adolescence. Predic...

Aug 2024 39142588
Identifying momentary suicidal ideation using machine learning in patients at high-risk for suicide.

BACKGROUND: Strategies to detect the presence of suicidal ideation (SI) or characteristics of ideati...

Aug 2024 39142570
Predictive roles of cognitive biases in health anxiety: A machine learning approach.

Prior work suggests that cognitive biases may contribute to health anxiety. Yet there is little rese...

Aug 2024 39126673
Multilevel hybrid handcrafted feature extraction based depression recognition method using speech.

BACKGROUND AND PURPOSE: Diagnosis of depression is based on tests performed by psychiatrists and inf...

Aug 2024 39127304
Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.

BACKGROUND: The global research on pandemics or epidemics and mental health has been growing exponen...

Aug 2024 39117794
Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI.

Analysis of neuroimaging data (e.g., Magnetic Resonance Imaging, structural and functional MRI) play...

Aug 2024 37028037
Unraveling the physiological and psychosocial signatures of pain by machine learning.

BACKGROUND: Pain is a complex subjective experience, strongly impacting health and quality of life. ...

Aug 2024 39116869
Development of an eye-tracking system based on a deep learning model to assess executive function in patients with mental illnesses.

Patients with mental illnesses, particularly psychosis and obsessive‒compulsive disorder (OCD), freq...

Aug 2024 39107349
A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder.

Bipolar disorder (BD) is a mood disorder with different phases alternating between euthymia, manic o...

Aug 2024 38691437
Enhancing Major Depressive Disorder Diagnosis With Dynamic-Static Fusion Graph Neural Networks.

Major Depressive Disorder (MDD) is a debilitating, complex mental condition with unclear mechanisms ...

Aug 2024 38691439
Enhancing schizophrenia phenotype prediction from genotype data through knowledge-driven deep neural network models.

This article explores deep learning model design, drawing inspiration from the omnigenic model and g...

Aug 2024 39111546
Machine learning-enabled detection of attention-deficit/hyperactivity disorder with multimodal physiological data: a case-control study.

BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental psy...

Aug 2024 39103819
Assessing dimensions of thought disorder with large language models: The tradeoff of accuracy and consistency.

Natural Language Processing (NLP) methods have shown promise for the assessment of formal thought di...

Aug 2024 39226873
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