TY  - JOUR
PY  - 2016//
TI  - Algorithm characterization of suicide: introducing an informative categorization system
JO  - Iranian journal of psychiatry and behavioral sciences
A1  - Rezaeian, Mohsen
A1  - Zarghami, Mehran
SP  - e4544
EP  - e4544
VL  - 10
IS  - 3
N2  - The world health organization (WHO) has estimated that each year nearly one million people die from suicide. Moreover, up to twenty million people carry out suicide attempts annually. The WHO also reported that all through the world and within the last 45 years, suicide rates have increased by 60%, mostly among young people (1).     When we are dealing with a rising phenomenon like suicide, which is a very complicated act and can emerge in different ways and types, it is important to apply a characterization and categorization system. Scientists from diverse backgrounds including sociology, epidemiology, psychology, biology etc. have not only increased our knowledge about suicide (2) but also tried to categorize it based on different systems.     However, evidence suggests that the existing classification systems have their own limitations and there are overlaps between different categories. The aim of the present article was to introduce an algorithm characterization system for different types of suicide, which at the very least, might apply as an educational resource.     To fulfill this aim we will first consider the existing classification systems and discuss their limitations. Then we move on to discuss the fundamentals of any new categorization systems. Finally we will introduce a new characterization system that helps to better classify this complex phenomenon.<p />  <p>Language: en</p>
LA  - en
SN  - 1735-8639
UR  - http://dx.doi.org/10.17795/ijpbs-4544
ID  - ref1
ER  -