Design of Mental Disorder Consultation System with Decision Tree Method

Ahmad Sarif Hikmawan, Eko Prasetyo, Rifki Fahrial Zainal
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Abstract

level or category of disorders suffered by patients, so patients can be dealt with quickly according to the level of the  disorder they suffer. Diagnosing the level of mental disorders using the expert system will record the symptoms of the  patient and will diagnose the level of the disorder based on the knowledge obtained from an expert, the mental disorder  expert system uses the Decision Tree method. in general is a system that seeks to adopt human knowledge to computers,  so that computers can solve problems as they are usually done by experts or before consulting a psychologist without  reducing  the  expert  role  of the  psychologist  or in  other  words  expert  systems  are  systems that  are  designed and  implemented  with  help  certain  programming  languages  to  be  able  to  solve  problems  as  experts  do  quickly  and  efficiently. It is hoped that with this system, lay people can be more sensitive in recognizing the level of psychiatry in  person. As for the experts of this system can be used as an assistant or supporting the performance of psychologist  officers. Based on the results of the system tests that have been done, the accuracy of 97.5% results and system error  2.5% and the percentage of each diagnosis, 32% psychosis, 27% Neurosis, 17% Learning Soldered, 12% Juvenile  Delinquency and Growth Flower 10%.
基于决策树方法的精神障碍咨询系统设计
患者所患疾病的级别或类别,因此可以根据患者所患疾病的级别对患者进行快速处理。使用专家系统诊断精神障碍的程度将记录患者的症状,并根据从专家那里获得的知识来诊断精神障碍的程度,精神障碍专家系统采用决策树方法。一般来说,这是一个试图将人类知识应用于计算机的系统,这样计算机就可以像专家一样解决问题,或者在咨询心理学家之前,不减少心理学家的专家角色,或者换句话说,专家系统是通过帮助某些编程语言设计和实现的系统,能够像专家一样快速有效地解决问题。希望通过这个系统,外行人能够更加敏感地认识到精神病学的水平。对于专家来说,本系统可以作为心理医生工作的助手或辅助人员。根据已完成的系统测试结果,结果的准确率为97.5%,系统错误率为2.5%,每种诊断的错误率分别为:精神病32%、神经症27%、学习焊接症17%、青少年犯罪12%、成长花10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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