“DIA SMART” Android-Based Intelligent Application Expert System for Diagnosis and Mapping of 10 Diseases at Teaching Factory Nutrition Care Center

Erna Selviyanti, M. Roziqin, D. S. H. Putra, Muhammad Syeikhooni Noor
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Abstract

The Basic Health Research in 2018 showed that the prevalence of non-communicable diseases including cancer, stroke, chronic kidney disease, diabetes mellitus, and hypertension increased in Indonesia. The main risk factors are metabolic factors, behavioral factors, and environmental factors. Based on the existing problems, an Android-based intelligent application for the diagnosis and mapping of 10 diseases was proposed at the Teaching Factory Nutrition Care Center. This application development used the Expert System Development Life Cycle model and Dart Language. The framework used is Flutter. This article only discusses the implementation and testing of applications made based on Android. This application was developed to perform a diagnosis based on some patients’ data. This application is used as a reference for early detection of a disease, allowing patients to take preventive measures. It can map the number of patients who had health consultations in each department. The users of the application were a doctor, nutritionist or health consultant at the Teaching Factory Nutrition Care Center. System functionality tested using Blackbox-testing showed that the application ran well.
“DIA SMART”基于android的教学工厂营养护理中心10种疾病诊断与制图智能应用专家系统
2018年的《基础健康研究》显示,印度尼西亚的癌症、中风、慢性肾病、糖尿病和高血压等非传染性疾病患病率有所上升。主要危险因素有代谢因素、行为因素和环境因素。针对存在的问题,在教学厂营养保健中心提出了一款基于android的10种疾病诊断与制图智能应用。本应用程序的开发使用了专家系统开发生命周期模型和Dart语言。使用的框架是Flutter。本文只讨论基于Android的应用程序的实现和测试。开发这个应用程序是为了根据一些患者的数据进行诊断。该应用程序用作疾病早期检测的参考,使患者能够采取预防措施。它可以绘制出在每个部门进行健康咨询的患者人数。该应用程序的用户是教学工厂营养护理中心的医生、营养师或健康顾问。系统功能测试使用黑盒测试表明,应用程序运行良好。
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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