Sistem Pakar Diagnosis Penyakit Kulit Balita Menggunakan Metode Certainty Factor dan Forward Chaining

Guon Fernando Tarimakase, Aris Gunaryati, Sari Ningsih
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引用次数: 0

Abstract

When someone has very weak immunity level, they can develop skin problems. Children, especially babies and toddlers, are prone to skin problems because their immune systems are not fully developed. Developing an application that can help users to be able to diagnose skin diseases in toddlers, especially skin diseases Diaper Rash, Prickly Heat, Chicken Pox, Measles, Eczema, and Impetigo is needed according to needs. This study uses the Forward Chaining inference engine and the Certainty Factor certainty method. The goal is to make an application that can help the experts to get information and solutions about skin diseases in toddlers, as well as to provide accurate presentations about the disease. In the development of this system, the resulted level of accuracy is in accordance with the diagnosis expert, which is equal to 83.33% of 30 medical record data.
当一个人的免疫水平很弱时,他们可能会出现皮肤问题。儿童,尤其是婴幼儿,容易出现皮肤问题,因为他们的免疫系统还没有发育完全。根据需要开发能够帮助用户诊断幼儿皮肤病的应用程序,特别是尿布疹、痱子、水痘、麻疹、湿疹、脓疱病等皮肤病。本研究采用前向链推理引擎和确定性因子确定性方法。目标是制作一个应用程序,可以帮助专家获得有关幼儿皮肤病的信息和解决方案,并提供有关该疾病的准确介绍。在本系统的开发过程中,得出的准确率水平与诊断专家一致,相当于30份病案数据的83.33%。
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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