Diagnosis of Simplex Herpes by Case-Based Reasoning Method

Artificial Intelligence (Artificial Intelligence or AI) is defined as the intelligence shown by an artificial entity. Such systems are generally considered computers. Intelligence is created and incorporated into a machine (computer) so that it can do work as humans can. Artificial Intelligence (Artificial Intelligence or AI) is defined as intelligence shown by an artificial entity. Such systems are generally considered computers. Intelligence is created and incorporated into a machine (computer) so that it can do work like humans can. CBR method is a method used to solve a problem by using previous experience to solve a new problem. This research will discuss about Herpes Simplex, a venereal disease. In implementing this expert system, it is used by families of patients with Herpes Simplex. The goal is that the expert system can assist the patient's family in conducting the initial diagnosis process to determine the symptoms felt by sufferers of Herpes Simplex. And with the existence of this expert system can carry out appropriate treatment by sufferers of Herpes Simplex.

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Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽

10.24160/1993-6982-2020-5-132-139 ◽

2020 ◽

Vol 5 (5) ◽

pp. 132-139

Author(s):

Ivan E. Kurilenko ◽

◽

Igor E. Nikonov ◽

Keyword(s):

Artificial Intelligence ◽

Classification Problem ◽

Subject Area ◽

Text Messages ◽

Case Based Reasoning ◽

Short Text ◽

Proposed Modification ◽

Voice Interaction ◽

Text Content ◽

Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

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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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Retrieving Assembly Part Design Using Case-Based Reasoning and Genetic Algorithms

Manufacturing Engineering and Materials Handling, Parts A and B ◽

10.1115/imece2005-80334 ◽

2005 ◽

Cited By ~ 1

Author(s):

Guanghsu A. Chang ◽

Cheng-Chung Su ◽

John W. Priest

Keyword(s):

Artificial Intelligence ◽

Genetic Algorithms ◽

Nearest Neighbor ◽

Similarity Measures ◽

Experimental Results ◽

Case Based Reasoning ◽

Feature Weight ◽

Similar Part ◽

Case Base ◽

Case Based

Artificial intelligence (AI) approaches have been successfully applied to many fields. Among the numerous AI approaches, Case-Based Reasoning (CBR) is an approach that mainly focuses on the reuse of knowledge and experience. However, little work is done on applications of CBR to improve assembly part design. Similarity measures and the weight of different features are crucial in determining the accuracy of retrieving cases from the case base. To develop the weight of part features and retrieve a similar part design, the research proposes using Genetic Algorithms (GAs) to learn the optimum feature weight and employing nearest-neighbor technique to measure the similarity of assembly part design. Early experimental results indicate that the similar part design is effectively retrieved by these similarity measures.

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A NEW APPROACH FOR IMPROVING BUSINESS PERFORMANCE USING ARTIFICIAL INTELLIGENCE AND CASE-BASED REASONING

Decision Making Systems in Business Administration - World Scientific Proceedings Series on Computer Engineering and Information Science ◽

10.1142/9789814452052_0015 ◽

2012 ◽

pp. 163-184

Author(s):

ALEKSANDAR VUJOVIC ◽

ZDRAVKO KRIVOKAPIC ◽

MIRKO SOKOVIC ◽

SLAVKO ARSOVSKI ◽

MARC ARTHUR DIAYE ◽

...

Keyword(s):

Artificial Intelligence ◽

Business Performance ◽

Case Based Reasoning ◽

New Approach ◽

Case Based

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Cyber Physical Control Systems

Challenges, Opportunities, and Dimensions of Cyber-Physical Systems - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-4666-7312-0.ch014 ◽

2015 ◽

pp. 263-285

Keyword(s):

Artificial Intelligence ◽

Control Systems ◽

Intelligent Systems ◽

Control Strategies ◽

Case Based Reasoning ◽

Physical Control ◽

Closed Loop Systems ◽

Intelligence Models ◽

Algorithmic Design ◽

Case Based

The focus of algorithmic design is to solve composite problems. Intelligent systems use intellectual concepts like evolutionary computation, artificial neural networks, fuzzy systems, and swarm intelligence to process natural intelligence models. Artificial intelligence is used as a part of intelligent systems to perform logic- and case-based reasoning. Systems like mechanical and electrical support systems are operated by utilizing Supervisory Control and Data Acquisition (SCADA) systems. These systems cannot accomplish their purpose, provided the control system deals with the reliability of it. In CPSs, dimensions of physical processes are taken by sensors and are processed in cyber subsystems to drive the actuators that affect the physical processors. CPSs are closed-loop systems. The adaptation and the prediction are the properties to be followed by the control strategies that are implemented in cyber subsystems. This chapter explores cyber physical control systems.

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Individual Prognosis of Diabetes Long-term Risks: A CBR Approach

Methods of Information in Medicine ◽

10.1055/s-0038-1634463 ◽

2001 ◽

Vol 40 (01) ◽

pp. 46-51 ◽

Cited By ~ 18

Author(s):

A. Palaudàries ◽

E. Plaza ◽

E. Armengol

Keyword(s):

Artificial Intelligence ◽

Diabetic Complication ◽

Diabetic Patients ◽

Case Based Reasoning ◽

Artificial Intelligence Technique ◽

Past Experiences ◽

Risk Pattern ◽

Case Based ◽

Intelligence Technique

AbstractWe present DIRAS, an application to support physicians in determining the risk of complications for individual diabetic patients. The risk pattern of each diabetic patient is obtained using a Case-based Reasoning method called LID. Case-based Reasoning is an Artificial Intelligence technique based on solving new situations according to past experiences. For each patient, the LID method determines the risk of each diabetic complication according to the risk of already diagnosed patients. In addition, LID builds a description that can be viewed as an explanation of the obtained risk.

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A Case-Based Reasoning Approach for the Cybersecurity Incident Recording and Resolution

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s021819401940014x ◽

2019 ◽

Vol 29 (11n12) ◽

pp. 1607-1627

Author(s):

Raul Ceretta Nunes ◽

Marcelo Colomé ◽

Fabio André Barcelos ◽

Marcelo Garbin ◽

Gustavo Bathu Paulus ◽

...

Keyword(s):

Artificial Intelligence ◽

Problem Solving ◽

Case Based Reasoning ◽

Intelligent Computing ◽

Resolution System ◽

Concrete Problem ◽

Different Types ◽

Practice Knowledge ◽

Resolution Data ◽

Case Based

Intelligent computing techniques have a paramount importance to the treatment of cybersecurity incidents. In such Artificial Intelligence (AI) context, while most of the algorithms explored in the cybersecurity domain aim to present solutions to intrusion detection problems, these algorithms seldom approach the correction procedures that are explored in the resolution of cybersecurity incident problems that already took place. In practice, knowledge regarding cybersecurity resolution data and procedures is being under-used in the development of intelligent cybersecurity systems, sometimes even lost and not used at all. In this context, this work proposes the Case-based Cybersecurity Incident Resolution System (CCIRS), a system that implements an approach to integrate case-based reasoning (CBR) techniques and the IODEF standard in order to retain concrete problem-solving experiences of cybersecurity incident resolution to be reused in the resolution of new incidents. Different types of experimental results so far obtained with the CCIRS show that information security knowledge can be retained with our approach in a reusable memory improving the resolution of new cybersecurity problems.

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