Indonesian Journal of Artificial Intelligence and Data Mining
Vol 2, No 1 (2019): March 2019

Expert System For Diagnosing Hemophilia In Children Using Case Based Reasoning

Subrianto Chandra (Universitas Putra Indonesia YPTK Padang)
Sumijan Sumijan (Universitas Putra Indonesia YPTK Padang)
Eka Praja Wiyata Mandala (Universitas Putra Indonesia YPTK Padang)



Article Info

Publish Date
08 Jul 2019

Abstract

Many people who have children do not know about hemophilia, because this disease is one of the rare diseases. Hemophilia is a genetic disorder in the blood caused by a lack of blood clotting factors. Therefore there is a need for information for the public to be able to find out about this disease, so that when there is an unnatural bleeding, early treatment can be done properly.Therefore an expert system was designed to diagnose early hemophilia in children.The method used in this expert system is the Case Based Reasoning method. The Case Based Reasoning method is a method used to solve a new case by adapting the symptoms found in previous cases that are similar to the new case.This expert system can provide solutions / early prevention of the diagnostic process carried out. Expert system applications are designed based on websites using the PHP programming language.

Copyrights © 2019






Journal Info

Abbrev

IJAIDM

Publisher

Subject

Computer Science & IT

Description

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...