Expert system for diagnosing severe acute respiratory syndrome (e-SARS)

  • Authors:

  • M. A. Mohd Azau;S. A. R. Al-Haddad;A. T. Obaidellah;F. Arif;A. R. Ramli

  • Affiliations:

  • Department of Computer and Communication Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Department of Computer and Communication Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Department of Computer and Communication Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Department of Computer and Communication Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Department of Computer and Communication Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia

  • Venue:
  • AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
  • Year:
  • 2005

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Abstract

Expert System for Diagnosing Severe Acute Respiratory Syndrome (e-SARS), is an expert system application that models human abilities in analyzing and diagnosing Severe Acute Respiratory Syndrome (SARS) disease considering other respiratory diseases such as Atypical Pneumonia, Bacterial Pneumonia, Pneumonia, Viral Pneumonia and Tuberculosis. The objective of developing the system is to assist and enhance its users' (public user, doctors, medical student, and medical assistants) consciousness and understanding towards diagnosing the respiratory diseases. Diagnosing a potential disease that one may suffer is done by providing relevant inputs through a consultation in which the user has to answer set of questions in the Signs and Symptom module. The system has two major modules namely the Signs and Symptom module and Health Information module. To provide convenience to the users, this system utilizes Linear model methodology and has been developed as a web-based application as it allows user to retrieve the information from the database exclusively anywhere at anytime. The system is built-up with the emergence of expert systems concepts and the latest available Microsoft technologies such as ASP. NET and SQL Server 2000 database and it runs on the requirement of Windows 98 and above operating system.