Extension of Standard Software Systems by the Case-Based Reasoning Approach to a Hybrid Architecture for Intelligent DSS

Identification of skin disease has become a challenging task with the origination of various skin diseases. This paper presents a case-based reasoning (CBR) decision support system to enhance dermatological diagnosis for rural and remote communities. In this proposed work, an automated way is introduced to deal with the inconsistency problem in CBRs. This new hybrid architecture is to support the diagnosis in multiple skin diseases. The architecture used case-based reasoning terminology facilitates the medical diagnosis. Case based reasoning system retrieves the data which contains symptoms and treatment plan of the disease from the data repository by the way of matching visual contents of the image, such as shape, texture, and color descriptors. The extracted feature vector is fed into a framework to retrieve the data. The results proved using ROC curve that the proposed architecture yields high contribution to the computer-aided diagnosis of skin lesions. In experimental analysis, the system yields a specificity of 95.25% and a sensitivity of 86.77%. Our empirical evaluation has a superior retrieval and diagnosis performance when compared to the performance of other works.

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Application of the Method Based on Knowledge and Experience for Adding the Cutting Tools and Parameters Selection

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.809-810.1243 ◽

2015 ◽

Vol 809-810 ◽

pp. 1243-1248 ◽

Cited By ~ 5

Author(s):

Piotr Ociepka ◽

Krzysztof Herbuś

Keyword(s):

Cutting Tools ◽

Case Based Reasoning ◽

Hybrid Architecture ◽

Turning Process ◽

Engineering Knowledge ◽

Advisory System ◽

Parameters Selection ◽

Case Based ◽

Selection Of

The paper presents the method basing on engineering knowledge and experience for adding selection of cutting tools and parameters in a turning process. In this method, the system is built basing on a hybrid architecture that combines an advisory system and the CBR (Case Based Reasoning) method. It is presented the structure of the advisory system, and the functioning of the CBR method. Attention has been paid to the problem of an “empty database” in relation to systems basing on the CBR method. The paper also presents the possibility of integrating the developed method with a CAM system.

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A Case-Based Approach to Adaptive Hypermedia Navigation

Dynamic Advancements in Teaching and Learning Based Technologies ◽

10.4018/978-1-60960-153-9.ch003 ◽

2011 ◽

pp. 46-65

Author(s):

Alessandro Micarelli ◽

Filippo Sciarrone ◽

Fabio Gasparetti

Keyword(s):

Learning Strategies ◽

Educational Systems ◽

Case Based Reasoning ◽

Hybrid Architecture ◽

Large Set ◽

Web Based ◽

Controlled Evaluation ◽

Symbolic Approach ◽

Case Based

Hypermedia, with its combination of multimedia and non-linear organization of links among informative nodes, provides a highly interactive environment. In structured domains such as Web-based Educational Systems, the complexity of the learning domain often requires a large set of learning nodes and conceptual interrelationships that can cause several issues, e.g.: lack of comprehension, disorientation and inefficacious learning strategies. In this article we propose a new approach to guided navigation in hypermedia-based domains, suitable for helping users in structured and complex learning environments such as cultural heritage domains. Our proposal draws inspiration from the Case-Based Reasoning paradigm associated with a hypermedia structural analysis. In particular, our presentation highlights the use of a hybrid architecture for Adaptive Navigation Support, where the indexing problem of the case-based reasoner is solved by way of a sub-symbolic approach. A case study in the Neo-Realist Italian Cinema domain is discussed along with a formal and controlled evaluation that proves the advantages of the proposed approach.

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