Citation

Kim JB. Int. J. Curr. Res. Rev. 2020; 12(16): 60-65.

Copyright

(Copyright © 2020, Radience Research Academy)

DOI

10.31782/IJCRR.2020.12163

PMID

unavailable

Abstract

A typical mental effect that occurs over a long period of time after experiencing a physical and traumatic event is known as PTSD(post-traumatic stress disorder). Post-traumatic stress disorder is a complex psychological trauma that can endanger self-harm and suicidal impulses, even in serious cases leading to suicide. The root causes of this phenomenon can be found every-where, but repeated trauma exposure and inadequate medical support related to the professional specificity of firefighters can be cited as the main reasons. As such, firefighters' post-traumatic stress disorder needs to be treated as a mental health issue in the public domain beyond the mental health level of the individual. For the sake of stability, social problems should be covered in a broad sense by advanced research on high-risk analysis tools and preemptive forecasting methods along with a shift in perception of actual risk factors in modern society. Based on AI algorithm and big data, this study aims to develop the analysis model about prevalence of post-traumatic stress disorder caused by mental health damage factors for firefighters exposed to various trauma such as accidents, disasters and stress. © IJCRR.

Language: en

Keywords

Cluster analysis; Machine Learning; AI algorithm; Predictive Model; PTSD (post-traumatic stress disorder)