Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor

Journal Of Computer Networks, Architecture and High Performance Computing

View Publication Info
 
 
Field Value
 
Title Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor
 
Creator Br Sembiring, Betti Mastaria
Hasugian, Paska Marto
 
Description Nowadays computers are widely used in the medical world to aid in the diagnosis of a disease. The most frequently encountered Penyakityang adalahpenyakitTuberculosis. Therefore, prevention of tuberculosis disease begins with diagnosing dini.Salah a technique in diagnosing tuberculosis disease is an expert system. Therefore research inibertujuan construct an expert system that is used for early diagnosis of Tuberculosis disease by gejalayang in anguish. The system displays the amount of credence to the possibility of disease symptoms yangdiderita users. The value of these beliefs using Certainty Factor, because the CF is able to determine the value of trust in a greater uncertainty and be able to demonstrate absolute confidence.
 
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/373
 
Source Journal Of Computer Networks, Architecture and High Performance Computing; Vol 2 No 1, Januari (2020): Computer Networks, Architecture and High Performance Computing; 129-134
2655-9102
 
Language eng
 
Relation https://iocscience.org/ejournal/index.php/CNAPC/article/view/373/202
 
Rights Copyright (c) 2019 Journal Of Computer Networks, Architecture and High Performance Computing
 

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