Studies in health technology and informatics
25991135
We propose a modular approach to develop an ontology of psychiatry, ONTOPSYCHIA, based on Patient Discharges Summaries (PDS) and divided into three modules (i.e. social, mental disorders and treatments). We decided to take into account the social asp...
Journal of neural transmission (Vienna, Austria : 1996)
25037587
While neuroimaging research has advanced our knowledge about fear circuitry dysfunctions in anxiety disorders, findings based on diagnostic groups do not translate into diagnostic value for the individual patient. Machine-learning generates predictiv...
Computer methods and programs in biomedicine
25891366
Depression is a disease that can dramatically lower quality of life. Symptoms of depression can range from temporary sadness to suicide. Embarrassment, shyness, and the stigma of depression are some of the factors preventing people from getting help ...
International journal of methods in psychiatric research
25994109
The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a primary diagnosis of obsessive compulsive disorder (OCD). Random Forests is an ensemble machine learning...
The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
26453061
OBJECTIVES: This study investigates whether abnormal neural oscillations, which have been shown to precede the onset of frank psychosis, could be used towards the individualised prediction of psychosis in clinical high-risk patients.
Journal of child psychology and psychiatry, and allied disciplines
27090613
BACKGROUND: Machine learning (ML) provides novel opportunities for human behavior research and clinical translation, yet its application can have noted pitfalls (Bone et al., 2015). In this work, we fastidiously utilize ML to derive autism spectrum d...