Psychiatry

Psychiatry

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

5,977 articles

Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features.

Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive ...

Nov 2017 29098645

Improving individual predictions: Machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases).

Psychiatric diseases are very heterogeneous both in clinical manifestation and etiology. With the re...

Nov 2017 29074332

Neurobiological support to the diagnosis of ADHD in stimulant-naïve adults: pattern recognition analyses of MRI data.

OBJECTIVE: In adulthood, the diagnosis of attention-deficit/hyperactivity disorder (ADHD) has been s...

Oct 2017 29080396

Whole brain white matter connectivity analysis using machine learning: An application to autism.

In this paper, we propose an automated white matter connectivity analysis method for machine learnin...

Oct 2017 29079524

Automatic recognition of therapy progress among children with autism.

The article presents a research study on recognizing therapy progress among children with autism spe...

Oct 2017 29066747

Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Mental stress has been identified as one of the major contributing factors that leads to various dis...

Oct 2017 29043535

A pilot study for robot appearance preferences among high-functioning individuals with autism spectrum disorder: Implications for therapeutic use.

Recent rapid technological advances have enabled robots to fulfill a variety of human-like functions...

Oct 2017 29028837

Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which ex...

Oct 2017 29096205

Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data.

Technology driven interventions provide us with an increasing amount of fine-grained data about the ...

Oct 2017 30135774

Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among chil...

Sep 2017 29096213

Estimation and evaluation of linear individualized treatment rules to guarantee performance.

In clinical practice, an informative and practically useful treatment rule should be simple and tran...

Sep 2017 28960239

Meaningless comparisons lead to false optimism in medical machine learning.

A new trend in medicine is the use of algorithms to analyze big datasets, e.g. using everything your...

Sep 2017 28949964

Type 2 Diabetes Mellitus Is Associated with Social Recognition Memory Deficit and Altered Dopaminergic Neurotransmission in the Amygdala.

OBJECTIVE: Diabetic neuropathy is a chronic and often disabling condition that affects a significant...

Sep 2017 29849445

Individualized prediction of psychosis in subjects with an at-risk mental state.

Early intervention strategies in psychosis would significantly benefit from the identification of re...

Sep 2017 28935170

Depression recognition according to heart rate variability using Bayesian Networks.

BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depr...

Sep 2017 28926794

Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing.

To summarize recent research and present a selection of the best papers published in 2016 in the fi...

Sep 2017 29063569

Predicting posttraumatic stress disorder following a natural disaster.

Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subseque...

Sep 2017 28950110

Examining Thematic Similarity, Difference, and Membership in Three Online Mental Health Communities from Reddit: A Text Mining and Visualization Approach.

OBJECTIVES: Social media, including online health communities, have become popular platforms for ind...

Sep 2017 29456286

Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling.

OBJECTIVE: While risk factors for depression are increasingly known, there is no widely utilised dep...

Aug 2017 28856902

Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

The goal of the present study was to apply deep learning algorithms to identify autism spectrum diso...

Aug 2017 29034163

Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in s...

Aug 2017 28843999

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