Expert System Diagnose Disease Persian cat with Bayes Theorem Method

Journal Of Computer Networks, Architecture and High Performance Computing

View Publication Info
 
 
Field Value
 
Title Expert System Diagnose Disease Persian cat with Bayes Theorem Method
 
Creator Yanti, Yustrida
Sulindawaty, Sulindawaty
 
Description Lack of knowledge of the disease and the limitations Pesia cat disease management is often experienced by the owners of Persian cats. Therefore it is necessary to act / respond quickly to prevent infection with the disease more serius.Teorema Bayes is a method used to predict the probability. Therefore, in this study will be analyzed Persian cat disease data using Bayes theorem using four diseases areFeline Leukemia Virus, Worms, Cat Flu and Mushrooms Cryptococus. Based on these descriptions, we need a system that can represent an expert who has the knowledge base and experience of the Persian cat disease, which is an expert system. Developments in information technology more widely and rapidly. So much in use in various fields. That accompanied the information technology internet support each other resulting in increased web-based technologies
 
Publisher Institute Of Computer Science (IOCS)
 
Date 2020-01-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://iocscience.org/ejournal/index.php/CNAPC/article/view/380
 
Source Journal Of Computer Networks, Architecture and High Performance Computing; Vol 2 No 1, Januari (2020): Computer Networks, Architecture and High Performance Computing; 149-157
2655-9102
 
Language eng
 
Relation https://iocscience.org/ejournal/index.php/CNAPC/article/view/380/208
 
Rights Copyright (c) 2019 Journal Of Computer Networks, Architecture and High Performance Computing
 

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