Psychiatry

Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying.

Bullying events have frequently been the focus of coverage by news media, including news stories abo...

The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review.

OBJECTIVES: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To ...

Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.

Machine learning technique reveals intrinsic characteristics of schizophrenia: an alternative method.

Machine learning technique has long been utilized to assist disease diagnosis, increasing clinical p...

Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: can computational intelligence be used to augment clinical assessments?

[Artificial intelligence and nursing care: reflections in psychiatry].

A key government priority, artificial intelligence (IA) in healthcare is a real opportunity for nurs...

Artificial Intelligence applications and psychology: an overview.

Psychotherapy endows a sense of control in patients gripped with emotional conflicts which allow the...

Identification and evaluation of cognitive deficits in schizophrenia using "Machine learning".

BACKGROUND: Schizophrenia can be interpreted as a pathology involving the neocortex whose cognitive ...

Elucidating Compound Mechanism of Action and Predicting Cytotoxicity Using Machine Learning Approaches, Taking Prediction Confidence into Account.

The modes of action (MoAs) of drugs frequently are unknown, because many are small molecules initial...

Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing.

Social and behavioral factors influence health but are infrequently recorded in electronic health re...

Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms.

For patients with a diagnosis of schizophrenia, determining symptom onset is crucial for timely and ...

Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental ...

Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.

Assessing a patient's risk of an impending suicide attempt has been hampered by limited information ...

Teaching Digital, Block-Based Coding of Robots to High School Students with Autism Spectrum Disorder and Challenging Behavior.

The use of robots to teach students with autism spectrum disorder communication skills has basis in ...

EEG-Based Mental Workload Estimation.

Knowledge of the level of mental workload induced by any task is essential for optimizing load share...

Reckoning respiratory signals to affectively decipher mental state.

Recognizing mental states from physiological signal is a concern not only for medical diagnostics, b...

EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia.

This paper presents the design of a machine learning-based classifier for the differentiation betwee...

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder.

A less-invasive method for the diagnosis of the major depressive disorder can be useful for both the...

Design and validation of two embodied mirroring setups for interactive games with autistic children using the NAO humanoid robot.

Socially assistive robots have shown potential benefits in therapy of child and elderly patients wit...

Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.

BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar dis...

[Current Status of Robotic Research for Individuals with Autism Spectrum Disorders].

Individuals with autism spectrum disorders (ASD) can face lifelong challenges. There are a variety o...