Feature selection for situation recognition in Fuzzy SOM-based Case-based Reasoning

2016 ◽  
Author(s):  
Arezoo Sarkheyli ◽  
Dirk Soffker
Keyword(s):  
Feature Selection ◽  
Case Based Reasoning ◽  
Situation Recognition ◽  
Selection For ◽  
Case Based

Intelligent index selection for case-based reasoning

2006 ◽  
Vol 19 (8) ◽  
pp. 625-638 ◽  
Author(s):  
Mykola Galushka ◽  
David Patterson
Keyword(s):  
Index Selection ◽  
Case Based Reasoning ◽  
Selection For ◽  
Case Based

A Case-Based-Reasoning System for Feature Selection and Diagnosing Asthma

2017 ◽  
pp. 444-459
Author(s):  
Somayeh Akhavan Darabi ◽  
Babak Teimourpour
Keyword(s):  
Risk Factors ◽  
Feature Selection ◽  
Chronic Disease ◽  
Early Stage ◽  
Case Based Reasoning ◽  
Asthma Diagnosis ◽  
Stage Of Disease ◽  
Reasoning System ◽  
Therapeutic Measures ◽  
Case Based

Asthma is a chronic disease of the airways in the lungs. The differentiation between asthma, COPD and bronchiectasis in the early stage of disease is very important for the adoption of appropriate therapeutic measures. In this research, a case-based-reasoning (CBR) model is proposed to assist a physician to therapy. First of all, features and symptoms are determined and patients' data is gathered with a questionnaire, then CBR algorithm is run on the data which leads to the asthma diagnosis. The system was tested on 325 asthmatic and non-asthmatic adult cases and the accuracy was eighty percent. The consequences were promising. This study was performed in order to determine risk factors for asthma in a specific society and the results of research showed that the most important variables of asthma disease are symptoms hyper-responsive, frequency of cough and cough.

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