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.

Nabanita Choudhury and Shahin Ara Begum, “A Survey on Case-based Reasoning in Medicine” International Journal of Advanced Computer Science and Applications(IJACSA), 7(8), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070820

@article{Choudhury2016,
title = {A Survey on Case-based Reasoning in Medicine},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070820},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070820},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {8},
author = {Nabanita Choudhury and Shahin Ara Begum}
}