Application of the Case Based Learning (CBR) Method to Diagnose Conjunctivitis

Conjunctivitis is an inflammation of the conjunctiva or the outer layer of the eye and the inner lining of the eyelids caused by micro-organisms or viruses, bacteria, fungi, chlamydia, allergies, irritation of chemicals. The problems that arise start from common symptoms that are often shown or are shown by eye diseases such as redness of the eye area and then cause pain and soreness. Diagnosis can be made by an ophthalmologist. In addition, to diagnose eye diseases, an expert system can also be used to pour expert knowledge into an expert system, thus helping diagnose eye diseases. The research objective is to analyze a desktop-based expert system program that contains the knowledge of a trusted expert/doctor who has the ability to be able to diagnose the disease from the eye disease symptoms felt by the patient quickly and precisely. The stages of research carried out in this study include literature study, data collection, system design, system creation, system testing. In addition, the authors developed using the Case-Based Reasoning (CBR) method, which is one method of building an expert system by making decisions from cases with the solution of previous cases to determine the type of conjunctivitis.

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Implementasi Metode Case Based Reasoning Untuk Mendeteksi Kerusakan Televisi

JURNAL MEDIA INFORMATIKA BUDIDARMA ◽

10.30865/mib.v5i2.2952 ◽

2021 ◽

Vol 5 (2) ◽

pp. 624

Author(s):

Sursih Wulandari ◽

Marnis Nasution ◽

Mustafa Haris Munandar

Keyword(s):

High Weight ◽

Study Data ◽

Design System ◽

Case Based Reasoning ◽

Collection System ◽

Literature Study ◽

Knowledge Based ◽

Testing Case ◽

Case Based ◽

System Program

The process of deteriorating television should indeed be done by an expert who is a television expert himself, but because television is a tool that is no longer common for people to know him, many people also have television in their respective homes. Even for television repairs, it is quite expensive, so some people who have televisions can do television maintenance at home. The lack of knowledge possessed by the community can lead to wrong handling of television maintenance / maintenance and this has a fatal impact. Hopefully the existence of this system can help the community in diagnosing the damage to their televisions. In that case they need not bother to call for repairmen or bring in a television repair shop. Here the authors provide solutions to solve the problems that often arise on television. In this study, it discusses how to care for television officers. The research objective is to analyze a desktop-based expert system program that contains the knowledge of an expert / doctor whose truth is believed to have the ability to be able to diagnose the disease from the symptoms of damage that has been damaged by television damage quickly and precisely. The stages of research carried out in this study include literature study, data collection, system design, system creation, system testing. Case Based Reasoning is a method used to build a knowledge-based system. The source of system knowledge is obtained by collecting the handling of cases by an expert / expert. Therefore, many problems in television damage are usually due to the negligence of the television owner himself. The first step in solving a problem is by first identifying the scope of the problem to be resolved, this also applies to any Artificial Intelligence (AI) programming. The results obtained in the study for the diagnosis of conjunctivitis were the value of old cases and new cases which obtained a high weight value, namely 1 from the third case

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The Study of Hybrid Gaussian CBR Technique and Using in Camshaft Design System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.108-111.603 ◽

2010 ◽

Vol 108-111 ◽

pp. 603-607

Author(s):

Wei Yan ◽

Xue Qing Li ◽

Xu Guang Tan ◽

De Hui Tong ◽

Qi Gao

Keyword(s):

Expert System ◽

Decision Model ◽

Nearest Neighbor ◽

Design System ◽

Case Based Reasoning ◽

K Nearest Neighbor ◽

Engine Design ◽

Cam Profile ◽

Aided Design ◽

Case Based

In this paper, we propose a hybrid decision model using case-based reasoning augmented the Gaussian and k nearest neighbor methods for aided design camshaft in engine. The hybrid Gaussian k-NN (HGKNN) CBR scheme is designed to compute memberships between cam profile and engine parameters, which provides a more flexible and practical mechanism for reusing the decision knowledge. These methods were implemented in the database application and expert system following the examples of Cam Profile. To get the designed case, the retrieved results were compared and analyzed by HGKNN and k-NN algorithm in the CBR database. It proves the validity of HGKNN and CBR design system is used successfully in engine design process.

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Online Expert Systems For Bamboo Identification Using Case Based Reasoning

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v7i5.pp2766-2772 ◽

2017 ◽

Vol 7 (5) ◽

pp. 2766 ◽

Cited By ~ 1

Author(s):

Endina Putri Purwandari ◽

Ariefa Primair Yani ◽

Ramanda Sugraha ◽

Kurnia Anggriani ◽

Endang Widi Winarni

Keyword(s):

Expert System ◽

Expert Systems ◽

Expert Knowledge ◽

High Accuracy ◽

Identification Accuracy ◽

Base Case ◽

Case Based Reasoning ◽

Bamboo Species ◽

Input System ◽

Case Based

Bamboo is a typical plant that thrives in tropical countries like Indonesia. The diversity of bamboo species makes difficult to classified, then requiring the expertise from specialist who understands deeply about bamboo characteristics. The paper purpose to (1) adopts the bamboo expert knowledge into bamboo criteria of expertise; (2) implementing Case Based Reasoning method in online expert system for bamboo identification in Bengkulu Province; and (3) determined the identification accuracy of bamboo using expert systems. The system uses Case Based Reasoning with four main steps: retrieve, reuse, revise, and retain. Bamboo expert identify bamboo criteria into 6 morphology, 31 features, and 219 attributes as an input system. The results showed that the Case Based Reasoning method has high accuracy for identifying the bamboo species and can solve the problem of bamboo identification as a new case based on old case that stored in the base case.

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PENGEMBANGAN SISTEM CERDAS MENGGUNAKAN PENALARAN BERBASIS KASUS (CASE BASED REASONING) UNTUK DIAGNOSA PENYAKIT AKIBAT VIRUS EKSANTEMA

Telematika ◽

10.31315/telematika.v7i1.410 ◽

2015 ◽

Vol 7 (1) ◽

Author(s):

Agus Sasmito Aribowo

Keyword(s):

Expert System ◽

Similar Case ◽

Expert Knowledge ◽

Common Disease ◽

Case Based Reasoning ◽

Chicken Pox ◽

Case Based

Disease caused by a exanthema virus is a common disease in Indonesia. There are many types of diseases caused by this virus. Examples are chicken pox, measles, variola, etc. with symptoms almost similar to each other. To correctly identify the symptoms need experts. But the problem is very limited number of experts. Then the expert system is needed which has been given by the expert knowledge to assist in the diagnosis. Expert system in this research uses a case-based reasoning approach. If there is a similar case, the reasoning for considering the case of the nearest using Probabilistic Bayes. The result is the system will still be able to provide the best recommendations solution for new cases based on the solution to an old case that the nearest level of similarity.

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An Expert System for Construction Decision-Making Using Case-Based Reasoning

Computing in Civil Engineering (2012) ◽

10.1061/9780784412343.0012 ◽

2012 ◽

Author(s):

S. Kim ◽

H. Lee ◽

M. Park ◽

W. Kim

Keyword(s):

Decision Making ◽

Expert System ◽

Case Based Reasoning ◽

Case Based

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Graphical Fault Diagnosis Expert System of CNC Machine Tool Based on B/S

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.945-949.1707 ◽

2014 ◽

Vol 945-949 ◽

pp. 1707-1712

Author(s):

Bin Shen ◽

Shu Yu Zhao ◽

Jia Hai Wang ◽

Juergen Fleischer

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Machine Tool ◽

Case Based Reasoning ◽

Cnc Machine Tool ◽

Cnc Machine ◽

Rule Based ◽

Detailed Case ◽

Case Based ◽

Remote Fault Diagnosis

Based on the authors previous work of developing an expert system for fault diagnosis of CNC machine tool, this paper studied the theory and method of CNC remote fault diagnosis expert system based on B/S, and presents schema and structure of the expert system in detailed. Case based reasoning is used for the multi-alarm diagnosis, and rule based reasoning is used for single-alarm diagnosis. At last fault diagnosis expert system was designed and developed making use of C# and ASP.NET.

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