A Survey on Case-based Reasoning in Medicine
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 8
Abstract
Case-based reasoning (CBR) based on the memory-centered cognitive model is a strategy that focuses on how people learn a new skill or how they generate hypothesis on new situations based on their past experiences. Among various Artificial Intelligence tracks, CBR, due to its intrinsic similarity with the human reasoning process has been very promising in the utilization of intelligent systems in various domains, in particular in the domain of medicine. In this paper, we extensively survey the literature on CBR systems that are used in the medical domain over the past few decades. We also discuss the difficulties of implementing CBR in medicine and outline opportunities for future work.
Authors and Affiliations
Nabanita Choudhury, Shahin Begum
Keywords
Related Articles
- EP ID EP154422
- DOI 10.14569/IJACSA.2016.070820
- Views 99
- Downloads 0
Feature Selection Based on Minimum Overlap Probability (MOP) in Identifying Beef and Pork
Feature selection is one of the most important techniques in image processing for classifying. In classifying beef and pork based on texture feature, feature overlaps are difficult issues. This paper proposed feature sel...
Biometric Recognition using Area under Curve Analysis of Electrocardiogram
In this paper, we introduce a human recognition system that utilizes lead I electrocardiogram (ECG). It proposes an efficient method for ECG analysis that corrects the signal and extract all major features of its wavefor...
A Hybrid Heuristic/Deterministic Dynamic Programing Technique for Fast Sequence Alignment
Dynamic programming seeks to solve complex problems by breaking them down into multiple smaller problems. The solutions of these smaller problems are then combined to reach the overall solution. Deterministic algorithms...
An Efficient Design of RPL Objective Function for Routing in Internet of Things using Fuzzy Logic
The nature of the Low power and lossy networks (LLNs) requires having efficient protocols capable of handling the resource constraints. LLNs consist of networks that connect different type of devices which has constraint...
Steoporosis Detection using Important Shape-Based Features of the Porous Trabecular Bone on the Dental X-Ray Images
Osteoporosis screening using dental X-Ray images has been growing an interesting research. Existing methods for osteoporosis screening have been performed using the dental periapical or panoramic in X-Ray images. There w...