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 95
- Downloads 0
QTID: Quran Text Image Dataset
Improving the accuracy of Arabic text recognition in imagery requires a big modern dataset as data is the fuel for many modern machine learning models. This paper proposes a new dataset, called QTID, for Quran Text Image...
Adoption of e-Government in Pakistan: Demand Perspective
The reason for this paper is to investigate the variables that empower citizen adoption of e-Government driven organizations in Pakistan, where these offices are at a simple stage. Comprehension citizen’s adoption of ele...
The Impact on Effectiveness and User Satisfaction of Menu Positioning on Web Pages
The authors of this paper are conducting research into the usability of menu positioning on web pages. Other researchers have also done work in this area, but the results are not conclusive and therefore more work still...
Agent based Congestion Control Performance in Mobile ad-hoc Network:A Survey paper
A Congestion control is a key problem in mobile ad-hoc networks. The standard TCP congestion control mechanism is not able to handle the special properties of a shared wireless channel. Many approaches have been proposed...
A Learner Model for Adaptable e-Learning
The advancement in Information and Communication Technology (ICT) has provided new opportunities for teaching and learning in the form of e-learning. However, developing specialized contents, accommodating profiles of le...