Psychiatry

Psychiatry

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

5,973 articles

Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 3088-3108 of 5,973 articles

Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: a machine learning approach.

BACKGROUND: Outcomes for people with first-episode psychosis are highly heterogeneous. Few reliable ...

Sep 2019 33323250

PTSD and its dissociative subtype through the lens of the insula: Anterior and posterior insula resting-state functional connectivity and its predictive validity using machine learning.

Individuals with post-traumatic stress disorder (PTSD) typically experience states of reliving and h...

Sep 2019 31502268

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and fa...

Sep 2019 31611912

Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention.

PURPOSE: Globally, individuals living with mental disorders are more likely to have access to a mobi...

Sep 2019 32457823

Clustering suicides: A data-driven, exploratory machine learning approach.

Methods of suicide have received considerable attention in suicide research. The common approach to ...

Sep 2019 31505319

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of weara...

Sep 2019 31493783

Using machine learning to explain the heterogeneity of schizophrenia. Realizing the promise and avoiding the hype.

Despite extensive research and prodigious advances in neuroscience, our comprehension of the nature ...

Sep 2019 31500998

Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

BACKGROUND: The development of optimal classification criteria for specific mental disorders which s...

Sep 2019 31627171

Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach.

BACKGROUND: Symptomatology differences of major depressive disorder (MDD) in psychiatric and general...

Sep 2019 31521873

Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physic...

Aug 2019 31470635

Identifying schizophrenia subgroups using clustering and supervised learning.

Schizophrenia has a 1% incidence rate world-wide and those diagnosed present with positive (e.g. hal...

Aug 2019 31455518

Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data.

Considering the unsatisfactory classification accuracy of autism due to unsuitable features selected...

Aug 2019 31446358

Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches.

BACKGROUND: Recently, a biologically-driven psychosis classification (B-SNIP Biotypes) was derived u...

Aug 2019 31439419

Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents' mental health.

Previous studies have shown that perceptions of neighborhood safety are associated with various ment...

Aug 2019 31400645

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Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: a machine learning approach.

PTSD and its dissociative subtype through the lens of the insula: Anterior and posterior insula resting-state functional connectivity and its predictive validity using machine learning.

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.

Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention.

Clustering suicides: A data-driven, exploratory machine learning approach.

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

Using machine learning to explain the heterogeneity of schizophrenia. Realizing the promise and avoiding the hype.

Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach.

Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

Identifying schizophrenia subgroups using clustering and supervised learning.

Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data.

Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches.

The risks of risk. Regulating the use of machine learning for psychosis prediction.

Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes.

Assisted therapeutic system based on reinforcement learning for children with autism.

Can Machine Learning help us in dealing with treatment resistant depression? A review.

Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.

The Future of Digital Psychiatry.

Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry.

Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents' mental health.

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