Suicide Rate Predictions In Pakistan By using Neural Networks

  • Muhammad Nadeem Ali Faculty of Computer Science , Lahore Garrison University
  • Hira Akram Faculty of Computer Science , Lahore Garrison University
  • Afifa Akram Faculty of Computer Science , Lahore Garrison University
Keywords: Suicide Rate, Pakistan, Age, Methods, Prediction, Neural Networks

Abstract

Suicide is the understudied subject in Pakistan that is a cause of death all over the world. Seventy-five
percent of suicide occurs in LMIC.In Pakistan information about suicide is limited. The study is about to
find the number of suicide from major cities of Pakistan and then predict the number of suicides by using
Neural Networks Algorithm. About 24639 cases were found in our research from 2001-18 in major
cities of Pakistan. Hanging and poisoning were the most common methods of suicide. The peak age of
suicide committers was 20-35 included males and females. The lowest number of suicide was in
Bahawalpur (130 from 2001 to 2018) and the Highest was in Lahore (5925 from 2001 to 2018).

Published
2020-04-21
How to Cite
Muhammad Nadeem Ali, Hira Akram, & Afifa Akram. (2020). Suicide Rate Predictions In Pakistan By using Neural Networks. Lahore Garrison University Research Journal of Computer Science and Information Technology, 3(3), 26-33. https://doi.org/10.54692/lgurjcsit.2019.030385
Section
Articles