INFOKUM
Vol. 10 No. 5 (2022): December, Computer and Communication

EXPERT SYSTEM TO DIAGNOSE POLYCYSTIC OVARY SYNDROME (PCOS) USING THE NAÏVE BAYES METHOD

Agustina Simangunsong (STMIK Pelita Nusantara)
Petti Indrayati Sijabat (STMIK Pelita Nusantara)
Evi Ningsih Ana Giawa (STMIK Pelita Nusantara)



Article Info

Publish Date
30 Dec 2022

Abstract

The development of information systems and technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. The expert system that is currently developing is a system that adopts the knowledge of an expert in a particular field. In everyday life, we often encounter problems faced by humans, including disease problems in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In light of these existing problems, it is necessary to develop a system that can help these patients, namely by developing an Expert System model for diagnosing Polycystic Ovary Syndrome (PCOS) using the Naïve Bayes method. The Naïve Bayes method will assist in diagnosing the disease.

Copyrights © 2022






Journal Info

Abbrev

infokum

Publisher

Subject

Computer Science & IT

Description

The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the ...