Diagnosis and recommender system for some neglected tropical diseases

  • O Oluwagbemi
  • B Oladunni

Abstract

Failure to promptly diagnose and treat of some tropical diseases such as chicken pox, cholera and typhoid fever is affecting the community-based management of such diseases. The high mortality rates caused by these diseases make the quest for effective diagnoses and appropriate treatment an essential task. Thus, precise diagnosis of these diseases coupled with appropriate treatment will result in their control, especially in the tropical regions, which also constitute the developing countries. The system works for this research was based on the client/server architecture, structured as a 3-tier application. The Web browser constituted the first tier, a middleware engine using some dynamic Web content technology active server pages (ASP) constituted the middle-tier and the database was the third tier. The implementation of the system had a front- end web based graphical user interface (GUI) application and back-end relational database management system (RDBMS). The Front–end was implemented with ASP.NET (using vb.net-programming language), while the back-end was designed with Microsoft queried language (MS SQL) server 2005. With this development, a prompt medical diagnosis, effective drug recommendations and promulgation of effective policies could be provided at community settings where there are shortages in material and human resources for managing these neglected tropical diseases.

Keywords: Tropical diseases, recommender system, VB.Net programming language, MS SQL

International Journal of Natural and Applied Sciences, 6(2): 181-188, 2010

Author Biographies

O Oluwagbemi
Bioinformatics Unit, Department of Computer and Information Sciences, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria
B Oladunni
Bioinformatics Unit, Department of Computer and Information Sciences, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria
Section
Articles

Journal Identifiers


eISSN: 0794-4713