Machine learning is a type of artificial intelligence that is trained on data and applied to make predictions.

Research has shown that machine learning models can predict cases of schizophrenia within five years.

Machine learning methods work better on patients with schizophrenia compared to bipolar disorder.

Diagnosing serious mental illnesses like schizophrenia can take up to 10 years after the first episode. As one can imagine, this can have very negative repercussions. Catching psychosis early on helps create a better prognosis. Although there are many cases where those who have a late diagnosis go on to lead fulfilling lives, the hope is that future patients can get to that place faster.

Machine Learning Study

Using machine learning to identify early signs of psychosis, a cohort of 24,449 participants were enlisted. The participants’ data were gathered from the Psychiatric Services of the Central Denmark Region between 2013 and 2016. Notes from the hospital in which the participants stayed were analyzed through their text and........

© Psychology Today