Due to the advancement in machine learning and it's application in psychiatry and clinical psychology, their is a need to understand the reliability of various programming software for predicting the prevalence of suicide and it's risk factors.
How effective is machine learning artificial intelligence approach via suicide prediction algorithm in screening for suicide risk in the general population and what can be done to increase the accuracy of prediction?