Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach

Suicide is a major concern for those afflicted by schizophrenia. Identifying patients at the highest risk for future suicide attempts remains a complex problem for psychiatric interventions. Machine learning models allow for the integration of many risk factors in order to build an algorithm that predicts which patients are likely to attempt suicide. Currently it is unclear how to integrate previously identified risk factors into a clinically relevant predictive tool to estimate the probability of a patient with schizophrenia for attempting suicide.
Source: General Hospital Psychiatry - Category: Psychiatry Authors: Tags: Research paper Source Type: research