Pascal: Journal of Computer Science and Informatics
Vol. 1 No. 02 (2024): Pascal: Journal of Computer Science and Informatics

Application of Bayes' Theorem Method to Diagnose Miscarriage in Pregnant Women

Siagian, Edward Robinson (Unknown)



Article Info

Publish Date
25 Jun 2024

Abstract

The expert system for diagnosing the causes of miscarriage in pregnant women is an expert system designed as a tool to diagnose the type of food that causes miscarriage. Computer programs intended as a provider of tools in solving problems in certain areas of specialization such as miscarriage problems in pregnant women. This knowledge is obtained from various sources including books and the internet related to the causes of miscarriages. The knowledge base is arranged in such a way into a database with several tables of food types and tables of effects to facilitate the performance of the system in drawing conclusions in this expert system using Bayes' theorem. This expert system will display a selection of symptoms that can be selected by the user, where each effect selection will read the user to the next effect choice until the final result is obtained. In the final result, the expert system will display a selection of user effects, types of foods that cause miscarriage, and solutions.

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Journal Info

Abbrev

komputer

Publisher

Subject

Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Social Sciences

Description

Pascal: Journal of Computer Science and Informatics is a national scientific journal that publishes research articles in the field of Computer Science and Informatics which include: Computer Engineering, Information Engineering, Computer Science, Information Systems, Information Technology, Software ...