Problem statement: Diabetes mellitus or diabetes epidemic is one of the high prevalence diseases worldwide with increased number of disability, complications and death toll. An early diagnosis helps patients and medical practitioners to reduce the burden of diabetes. Approach: In this research, we propose a framework for a system using rule-based reasoning and object-oriented methodologies to diagnose both Type 1 and Type 2 diabetes. Results: Extensive literature reviews were carried out and questionnaires were distributed to medical practitioners to build the knowledge base. This knowledge base stores the rules needed to perform a diagnosis. Conclusion: This study only presents the proposed framework and not the system itself. We believe that great improvements can be provided to the medical practitioners and also the diabetics with the implementation of this system in future.
Steering Committee, and the TMC staff, we wish you a happy and prosperous New Year! Over the past few years, the societal and economic impact of mobile computing has been steadily increasing to the point where mobile devices will soon be the primary computing device for a large number of users. With this development, the importance and the potential for impact of academic research in mobile computing has grown dramatically. As the premier journal in the fi eld, TMC is in a unique position to shape academic thought and industry directions in various aspects of mobile computing. As ever, we look to you, our readers and contributors, to submit high-quality research work that moves this exciting fi eld in new directions.In this, the last year of our term, we hope to continue to publish thoughtful and deep research manuscripts that, we hope, will increase TMC's stature. In addition, we plan to bring you outstanding papers from highly selective mobile computing conferences in special sections of upcoming issues. In doing so, our aim is to expose our readership to cutting-edge research on impactful problems of relatively immediate importance.Our editorial board continues to perform outstanding service to the mobile computing community, and for this we are very grateful. The board has evolved this year, and we take this opportunity to welcome several new
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.