Increasingly, data-driven methods have been implemented to understand psychopathology.
Language is the main source of information in psychiatry and represents “big data” at the …

Psychiatric disorders such as autism and schizophrenia, arise from abnormalities in brain
systems that underlie cognitive, emotional, and social functions. The brain is enormously …

Language and speech are the primary source of data for psychiatrists to diagnose and treat
mental disorders. In psychosis, the very structure of language can be disturbed, including …

AIMS: In this proof-of-principle study, our aim was to test automated speech analyses
combined with Machine Learning to predict later psychosis onset in youths at clinical high …

Research related to automatically detecting Alzheimer's disease (AD) is important, given the
high prevalence of AD and the high cost of traditional methods. Since AD significantly affects …

Computerized natural language processing (NLP) allows for objective and sensitive
detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We …

Human ratings of conceptual disorganization, poverty of content, referential cohesion and
illogical thinking have been shown to predict psychosis onset in prospective clinical high risk …

Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …

Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is
important, given the high prevalence of AD and the high cost of traditional diagnostic …

Subtle features in people's everyday language may harbor the signs of future mental illness.
Machine learning offers an approach for the rapid and accurate extraction of these signs …