scholarly journals Adaptable Web Prediction Framework for Disease Prediction Based on the Hybrid Case Based Reasoning Model

2016 ◽  
Vol 6 (6) ◽  
pp. 1212-1216
Author(s):  
B. Trstenjak ◽  
D. Donko ◽  
Z. Avdagic

Nowadays, we are witnessing the rapid development of medicine and various methods that are used for early detection of diseases. In order to make quality decisions in diagnosis and prevention of disease, various decision support systems based on machine learning methods have been introduced in the medical domain. Such systems play an increasingly important role in medical practice. This paper presents a new web framework concept for disease prediction. The proposed framework is object-oriented and enables online prediction of various diseases. The framework enables online creation of different autonomous prediction models depending on the characteristics of diseases. Prediction process in the framework is based on a hybrid Case Based Reasoning classifier. The framework was evaluated on disease datasets from public repositories. Experimental evaluation shows that the proposed framework achieved high diagnosis accuracy.

2015 ◽  
Vol 7 (4) ◽  
pp. 4318-4342 ◽  
Author(s):  
Jie Dou ◽  
Kuan-Tsung Chang ◽  
Shuisen Chen ◽  
Ali Yunus ◽  
Jin-King Liu ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Wei Gao ◽  
Shengqiang Yang ◽  
Jianyan Tian ◽  
Yan Yang ◽  
Xiaojian Fan ◽  
...  

Barrel finishing process is a universal method to improve the surface quality of parts. It is widely used in high-performance parts of high-end equipment. As a necessary tool consumable for barrel finishing process, the characteristic parameters of the abrasive blocks affect the processing quality and production efficiency. However, the current method for selecting the abrasive blocks requires large number of experiments based on the operator’s extensive experience, which does not meet the rapid development needs of the barrel finishing process. Therefore, this paper proposes a case-based reasoning model with variable weights to achieve the intelligent optimization of the abrasive blocks. Based on the in-depth analysis of the characteristics of the barrel finishing process, a reasonable case base is established firstly, which is to determine the comprehensive case features and the solution of the case. AHP (analytic hierarchy process) is proposed to determine the weight of case features and to dynamically adjust the weight of case features according to the characteristics of the parts to be processed and users’ processing requirements. The results show that the proposed case-based reasoning model with variable weights can quickly, accurately, and reasonably select the abrasive blocks during the process of making processing technique of the barrel finishing, which will lay a necessary foundation for the effective implementation of the barrel finishing process and contribute significantly to the improvement of its efficiency.


2010 ◽  
Vol 27 (4) ◽  
pp. 267-290 ◽  
Author(s):  
German L. Vazquez ◽  
J. Andres Díaz-Pace ◽  
Marcelo R. Campo

2013 ◽  
Vol 19 (1) ◽  
pp. 86-96 ◽  
Author(s):  
Sangyong Kim

Cost estimating of highway projects with high accuracy at the early stage of project development is crucial for planning and feasibility studies. Various research have been attempted to develop cost prediction models in the early stage of a construction life cycle. This study uses the hybrid estimating tool to provide an effective cost data management for highway projects and accordingly develops a realistic cost estimating system. This study focused on the development of a more accurate estimate technique for highway projects in South Korea at the early stage using hybrid analytic hierarchy process (AHP) and case-based reasoning (CBR). Real case studies are used to demonstrate and validate the benefits of the proposed approach. It is expected that the developed CBR system is to provide decision-makers with accurate cost information to asses and compare multiple alternatives for obtaining the optimal solution and controlling cost.


Author(s):  
Cheng Xu ◽  
Yongjuan Wang ◽  
Changyi Liu

Abstract An approach synthesized with comprehensive evaluation & decision, rule-based reasoning, case-based reasoning and 3D parametric model are proposed to solve the problems of automation of the conceptual design of the mechanical products with middle complex level. A prototype software system for automatic rifle layout design was implemented using the object-oriented language — C++ based on this approach. The results running the prototype software system can well meet the demands of conceptual design of these complex level products.


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