A Predictive Stressor-Integrated Model of Suicide Right from One's Birth: A Bayesian Approach

被引：6

作者：

Chattopadhyay, Subhagata ^{[1
]}

Sahu, Subrat Kumar ^{[1
]}

机构：

[1] Natl Inst Sci & Technol, Dept Comp Sci & Engn, Berhampur 761008, Odisha, India

来源：

JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS | 2012年 / 2卷 / 02期

关键词：

Stressors; Birth Complications; Schizophrenia; Suicide; Bayesian Model; Prediction; User-Driven Tool; OBSTETRIC COMPLICATIONS; AUTOMATIC IDENTIFICATION; SCHIZOPHRENIA; RISK; PREGNANCY; DIAGNOSIS;

D O I：

10.1166/jmihi.2012.1073

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The mechanism of suicide is multifaceted in nature. It involves the orchestrated effects of several biological stressors. Suicidal vulnerabilities follow the strain generated due to the accumulation of various stresses starting right from one's life. Assessment of such forces and its impacts leading to suicide is an important area of research. The objective of this paper is to integrate few practical (or evidence-based) forces or stressors, such as (a) several 'Birth complications' and (b) 'Schizophrenia' leading to 'Suicide' using a semantic Bayesian model. A menu-driven generic tool has finally been developed for computing the stresses in one's lifetime and the risks of suicide. The usability of the tool has been tested on a group of users. It has been observed that the developed tool is user-friendly yielding a high level of satisfaction among users.

引用

页码：125 / 131

页数：7

共 6 条

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