(Peer review) Knowledge based information system for detecting early eye diseases

Sumarno, Sumarno (Peer review) Knowledge based information system for detecting early eye diseases. https://iopscience.iop.org/article/10.1088/1757-899X/1098/5/052102/pdf.

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Abstract

Abstract. The eyes are very important senses in human life. If the eyes experience interference, it will be fatal to human life. Although each type of eye disease has its own specific characteristics and symptoms, early detection with a deeper recognition of eye disease symptoms should be done. Knowledge-based information systems are systems that attempt to convert human knowledge into computers so that computers can solve problems as is usually done by experts. produce conclusions or goals. The aim of this study is to design applications for early detection of fourteen types of eye diseases. This detection uses a knowledge-based system that uses the Forward Chaining method. This study produced an output in the form of the possibility of the disease the user suffered based on fifty-three selected symptoms. This system indicates how much confidence the user has in the symptoms of possible eye diseases.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering > School of Computer Engineering
Depositing User:	Mr sumarno sumarno
Date Deposited:	26 Oct 2021 03:34
Last Modified:	26 Oct 2021 03:34
URI:	http://eprints.umsida.ac.id/id/eprint/8859

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