Abstract

<p>The present article is dedicated to design of intelligent system, which will help to make a risk assessment of socially dangerous acts committed by mental patients. In this article the author proves necessity of such system and describes steps of designing of its structure. Authors educed characteristics which influence on decision about need of regular medical checkup and choosing a type of coercive treatment. These characteristics presented as fuzzy variables and divided into three groups: "Socio-demographic characteristics", "History of Life", "History of the disease". During on the stages of the software process authors used graphical description language UML. Use case diagram, data base diagram and static structure diagram are presented. System interface is fully developed.</p>

Highlights

  • The idea of applying computer technologies in the medical field is not a novel one

  • Active implementation of various diagnostic methods that utilize computer software began in the 1960s

  • Diagnostic software has proven useful in the surgical field

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Summary

Introduction

The idea of applying computer technologies in the medical field is not a novel one. Active implementation of various diagnostic methods that utilize computer software began in the 1960s. Diagnostic software has proven useful in the surgical field. This fact is determined by a number of considerations, such as the existence of objective symptom detection methods in this sphere. Psychiatry, on the other hand, scarcely makes use of computer diagnostics due to the difficulties in diagnoses classification and symptom detection (Amar, 2002). Prevention of psychiatric disorders and their negative consequences is an important concern for psychiatry in the Russian Federation. Refining the measures for preventing socially dangerous acts committed by the mentally ill becomes one of the promising and strategically important vectors of the general and forensic psychiatry's development. As a result even the most experienced specialists have difficulties taking into account all of the relevant information in each patient's case, which in turn affects the precision and efficiency of psychiatric hospitals' performance. One of the conceivable ways of resolving this problem is the integration of innovative screening methods into the forensic psychiatrists' practice

The structure of the intelligent system
Case Diagram
Deployment Diagram
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