Mental health diagnosis may be aided by machine learning and brain imaging approaches

Neuropsychiatric disorders are currently diagnosed using behavioral criteria as opposed to physical tests or objective techniques, which makes the diagnosis challenging. In a recent publication, a team of researchers from the University of Tokyo (Japan) has combined machine learning with brain imaging tools to redefine the standard for diagnosing mental illnesses. Previous studies have used machine-learning algorithms to distinguish between those with a mental health condition and control subjects. However, although this has been successful in determining who is a patient and who is a control, it has been difficult to differentiate between certain mental illnesses between patients. This study,...