Psychotic disorder diseases (PDD) or mental illnesses are group of illnesses that affect the
minds and impair the cognitive ability, retard emotional ability and obstruct the process of …

Abstract Electronic Health Records (EHRs) hold symptoms of many diverse diseases and it
is imperative to build models to recognise these problems early and classify the diseases …

Abstract The goal of Multi-Label Classification (MLC) is to allot an instance to a set of
different labels. This task is usually addressed by either transforming the problem into …

Mood disorders strikes millions each year, often with debilitating consequences. This
psychological disorder is so common that it is sometimes referred to as the" common cold" of …

Background The application of artificial intelligence to extract predictors of Gambling
disorder (GD) is a new field of study. A plethora of studies have suggested that maladaptive …

The development of psychological assessment tools that accurately and efficiently classify
individuals as having or not a specific diagnosis is a major challenge for test developers and …

Neuropsychiatric disorders are diagnosed based on behavioral criteria, which makes the
diagnosis challenging. Objective biomarkers such as neuroimaging are needed, and when …

Dubiety exists over whether clinical symptoms of schizophrenia can be distinguished from
affective psychosis, the assumption being that absence of a “point of rarity” indicates lack of …

Classification is a significant task in data mining, machine learning and data science. It aims
to predict the class label for a new case accurately. Classification is of two types: Single …

Finding effective and objective biomarkers to inform the diagnosis of schizophrenia is of
great importance yet remains challenging. However, there is relatively little work on multi …