Abstract: Medicine recommender systems can assist the medical care providers with the selection of an appropriate medication for the patients. The advanced technologies available nowadays can help developing such recommendation systems which can lead to more concise decisions. Many existing medicine recommendation systems are developed based on different algorithms. Thus, it is crucial to understand the state-of-the-art developments of these systems, their advantages and disadvantages as well as areas which require more research. In this paper, we conduct a literature review on the existing solutions for medicine recommender systems, describe and compare them based on various features, and present future research directions.

Benjamin Stark, Constanze Knahl, Mert Aydin and Karim Elish, “A Literature Review on Medicine Recommender Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 10(8), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100802

@article{Stark2019,
title = {A Literature Review on Medicine Recommender Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100802},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100802},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {8},
author = {Benjamin Stark and Constanze Knahl and Mert Aydin and Karim Elish}
}