A study on suicidal risks in psychiatric adults

Psychiatric patients often commit suicide during illness. Although the occurrences of suicides could be prevented, yet detection of risks at the early stage of the illness is a difficult task as hardly any warning sign/symptom could be detected. This study addresses this important issue and proposes a methodology to explore the hidden factors in a set of adult psychiatric patients with the help of Pierce's Suicide Intent Scales (PSIS) clustering psychiatric illnesses based on the risk levels using Single Linkage Hierarchical Clustering Algorithm (SLHCA). It further argues that together these observations could be useful for early detection of suicidal risks.