设计系统专家诊断情绪障碍使用ANDROID BAYES定理方法

Nunu Nurdiana, Budiman Budiman, Whydiantoro Whydiantoro
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引用次数: 2

摘要

情感障碍:以情绪控制和自我控制能力降低或丧失为特征的一组临床特征。情感性障碍可以是抑郁、躁狂或两者的混合(双相情感障碍)。有情绪障碍的人需要尽早治疗,通过早期发现,并与心理学家协商进行准确的评估。因此,需要一种能够检测到可能出现的情绪紊乱的系统。专家系统是人工智能的一部分,它模仿专家的缓慢步伐。贝叶斯定理是一种了解条件概率的方法。条件概率是一个事件发生的概率,假设它与一个或多个其他事件有某种关系。症状和疾病的概率值是根据专家的经验得出的。该专家系统可以利用情绪障碍的症状数据、疾病数据及其概率值等数据,生成一个诊断情绪障碍的过程。使用10个测试数据,准确率为100%。一个基于android平台的情绪障碍诊断专家系统,采用JavaScript和PHP作为编程语言,Cordova作为创建移动应用程序的框架,PHP 7.2.1作为web服务器,MySQL 5.0.21作为数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RANCANG BANGUN SISTEM PAKAR DIAGNOSA GANGGUAN SUASANA PERASAAN (AFEKTIF) MENGGUNAKAN METODE TEOREMA BAYES BERBASIS ANDROID
Feeling disorder a group of clinical features characterized by reduced or lost emotional control and self-control. Affective disorders can be depression, manic or a mixture of both (bipolar). Someone who has mood disorders needs treatment as early as possible through early detection and an accurate assessment is carried out in consultation with a psychologist. So a system is needed that can detect the possible disturbance of the mood. Expert systems are part of artificial intelligence that mimics the slow pace of an expert. Bayes' Theorem is a way of knowing conditional probabilities. Conditional probability is the probability of an event occurring, given that it has some relationship with one or more other events. The probability value of symptoms and disease is obtained based on the experience of an expert. This expert system can produce a process of diagnosing mood disorders with some data about mood disorders in the form of symptom data, disease data and its probability value. The accuracy rate is 100% using 10 test data. An expert system for diagnosing mood disorders which is designed to be an Android-based application of JavaScript and PHP as a programming language, Cordova as a framework for creating mobile applications, PHP 7.2.1 as a web server, MySQL 5.0.21 as a database.
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