Expert System for Diagnosing Diseases Tubercolosis Using Bayes Method In Puskesmas Petumbukan

Journal Of Computer Networks, Architecture and High Performance Computing

View Publication Info
 
 
Field Value
 
Title Expert System for Diagnosing Diseases Tubercolosis Using Bayes Method In Puskesmas Petumbukan
 
Creator Syahwana, Muhammad Ridho
Simanjorang, R. Mahdalena
 
Description Tuberculosis is an infection caused by acid-fast bacilli (AFB). Tuberculosis is an infectious disease apat affect anyone over the air. Tuberculosis is an infectious disease berbahaya.Tuberculosis a chronic or chronic disease that can strike between the age of 15-35 years. How to diagnose tuberculosis is by way of the expert of experts interviewed then test sputum samples using a lab to determine the positive or negative tuberculosis disease so it takes a long time. Therefore it takes an expert system with Bayesian methods to facilitate the penykit diagnosing tuberculosis. This expert system developed using Microsoft Visual Studio 2010 as well as by using Microsoft Access 2010 database.
 
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/351
 
Source Journal Of Computer Networks, Architecture and High Performance Computing; Vol 2 No 1, Januari (2020): Computer Networks, Architecture and High Performance Computing; 7-14
2655-9102
 
Language eng
 
Relation https://iocscience.org/ejournal/index.php/CNAPC/article/view/351/181
 
Rights Copyright (c) 2019 Journal Of Computer Networks, Architecture and High Performance Computing
 

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