This paper presents a Systematic Literature Review(SLR) related to recommender system for medical treatment, aswell as analyze main elements that may provide flexible, accurate,and comprehensive recommendations. To do so, a SLR researchmethodology obey. As a result, 12 intelligent recommendersystems related to prescribing medication were classed dependingto specific criteria. We assessed and analyze these medicinerecommender systems and enumerate the challenges. After studyingselected papers, our study concentrated on two researchquestions concerning the availability of medicine recommendersystems for physicians and the features these systems should have.Further research is encouraged in order to build an intelligentrecommender system based...
During the last decades huge amounts of data have been collected in clinical databases representing ...
Recommender Systems provide users with content or products they are interested in. The main purpose ...
Researchers still believe that the information filtering system/ collaborating system is a recommend...
This paper presents a Systematic Literature Review(SLR) related to recommender system for medical tr...
Recommender systems have become an important research field since the emergence of the first paper o...
Nowadays, a vast amount of clinical data scattered across different sites on the Internet hinders us...
On the new many years, capture of PC framework on the various sciences, for example, clinical choice...
This article presents a comprehensive and objective systematic review of existing research on recomm...
Since the coronavirus arose, there has been an unprecedented demand on legitimate clinical budgets d...
This technical report is reviewing the literature and explaining the concepts behind Recommender Sys...
This work presents a deep and broad Systematic Literature Review (SLR) to select studies demonstrati...
Background: Recommender systems are information retrieval systems that provide users with relevant i...
As our current healthcare practice and policy increasingly relies on clear and comprehensive summari...
Clinicians can often find treatment recommendations in traditional narrative reviews and the discuss...
Over 80 approaches for academic literature recommendation exist today. The approaches were introduce...
During the last decades huge amounts of data have been collected in clinical databases representing ...
Recommender Systems provide users with content or products they are interested in. The main purpose ...
Researchers still believe that the information filtering system/ collaborating system is a recommend...
This paper presents a Systematic Literature Review(SLR) related to recommender system for medical tr...
Recommender systems have become an important research field since the emergence of the first paper o...
Nowadays, a vast amount of clinical data scattered across different sites on the Internet hinders us...
On the new many years, capture of PC framework on the various sciences, for example, clinical choice...
This article presents a comprehensive and objective systematic review of existing research on recomm...
Since the coronavirus arose, there has been an unprecedented demand on legitimate clinical budgets d...
This technical report is reviewing the literature and explaining the concepts behind Recommender Sys...
This work presents a deep and broad Systematic Literature Review (SLR) to select studies demonstrati...
Background: Recommender systems are information retrieval systems that provide users with relevant i...
As our current healthcare practice and policy increasingly relies on clear and comprehensive summari...
Clinicians can often find treatment recommendations in traditional narrative reviews and the discuss...
Over 80 approaches for academic literature recommendation exist today. The approaches were introduce...
During the last decades huge amounts of data have been collected in clinical databases representing ...
Recommender Systems provide users with content or products they are interested in. The main purpose ...
Researchers still believe that the information filtering system/ collaborating system is a recommend...