A Literature Review on Medicine Recommender Systems

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.

Authors and Affiliations

Benjamin Stark, Constanze Knahl, Mert Aydin, Karim Elish

Keywords

Related Articles

Credibility Evaluation of Online Distance Education Websites

Web credibility is becoming a significant factor in increasing user satisfaction, trust, and loyalty. Web credibility is particularly important for people who cannot visit an institution for one reason or other and mostl...

Developing a Candidate Registration System for Zambia School Examinations using the Cloud Model

Cloud computing has in the recent past gained a lot of ground in this digital age. The use of cloud technologies in business has broken barriers in sharing information making the world one big global village. Regardless...

Secure and Efficient Routing Mechanism in Mobile Ad-Hoc Networks

Securing crucial information is always considered as one of the complex, critical, and a time-consuming task. This research investigates a significant threat to the security of a network, i.e., selective forwarding attac...

RPOA Model-Based Optimal Resource Provisioning

Optimal utilization of resources is the core of the provisioning process in the cloud computing. Sometimes the local resources of a data center are not adequate to satisfy the users’ requirements. So, the providers need...

L-Bit to M-Bit Code Mapping

We investigate codes that map L bits to m bits to achieve a set of codewords which contain no consecutive n “0”s. Such codes are desirable in the design of line codes which, in the absence of clock information in data, p...

Download PDF file
  • EP ID EP626522
  • DOI 10.14569/IJACSA.2019.0100802
  • Views 90
  • Downloads 0

How To Cite

Benjamin Stark, Constanze Knahl, Mert Aydin, Karim Elish (2019). A Literature Review on Medicine Recommender Systems. International Journal of Advanced Computer Science & Applications, 10(8), 6-13. https://europub.co.uk/articles/-A-626522