Psychiatry

Depression and alcohol use disorder at antiretroviral therapy initiation led to disengagement from care in South Africa.

We sought to assess mental health at the time of antiretroviral therapy (ART) initiation and subsequ...

Metric learning with spectral graph convolutions on brain connectivity networks.

Graph representations are often used to model structured data at an individual or population level a...

Automatic mining of symptom severity from psychiatric evaluation notes.

OBJECTIVES: As electronic mental health records become more widely available, several approaches hav...

Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methods.

UNLABELLED: Schizophrenia is associated with heterogeneous clinical symptoms and neuroanatomical alt...

Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study.

Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) pat...

Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm.

DSM-5 Autism Spectrum Disorder (ASD) comprises a set of neurodevelopmental disorders characterized b...

Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM.

BACKGROUND: Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physi...

Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.

BACKGROUND: Autism spectrum disorder (ASD) diagnosis can be delayed due in part to the time required...

Fast and easy extraction of antidepressants from whole blood using ionic liquids as extraction solvent.

This study aims to prove that ionic liquids (ILs) can be used as extraction solvents in a liquid-liq...

Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.

High-order functional connectivity networks are rich in time information that can reflect dynamic ch...

Bipolar transurethral enucleation and resection of the prostate: Whether it is ready to supersede TURP?

OBJECTIVE: According to the EAU Guidelines, transurethral resection of the prostate (TURP) has so fa...

[Emotional robots in a nursing context : Empirical analysis of the present use and the effects of Paro and Pleo].

BACKGROUND: It has been questioned by researchers in robotics as well in the general public to what ...

Support vector machine-based classification of first episode drug-naïve schizophrenia patients and healthy controls using structural MRI.

Although regional brain deficits have been demonstrated in schizophrenia patients by structural MRI ...

A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI.

BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through exte...

Machine Learning for Precision Psychiatry: Opportunities and Challenges.

The nature of mental illness remains a conundrum. Traditional disease categories are increasingly su...

Prediction of persistent hemodynamic depression after carotid angioplasty and stenting using artificial neural network model.

OBJECTIVES: To assess and compare predictive factors for persistent hemodynamic depression (PHD) aft...

Does this robot have a mind? Schizophrenia patients' mind perception toward humanoid robots.

Relevant Features Selection for Automatic Prediction of Preterm Deliveries from Pregnancy ElectroHysterograhic (EHG) records.

In this study, we proposed an approach able to predict whether a pregnant woman with contractions wo...

Can Dogs Assist Children with Severe Autism Spectrum Disorder in Complying with Challenging Demands? An Exploratory Experiment with a Live and a Robotic Dog.

OBJECTIVES: Prompted by the need to find effective ways to enhance compliance in children with autis...

Working Memory and Decision-Making in a Frontoparietal Circuit Model.

Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distrib...

Influence of facial feedback during a cooperative human-robot task in schizophrenia.

Rapid progress in the area of humanoid robots offers tremendous possibilities for investigating and ...