A fuzzy rule-based expert system for asthma severity identification in emergency department

• Main Authors: Mohd Sharif, Nurul Atikah, Ahmad, Norazura, Ahmad, Nazihah, Mat Desa, Wan Laailatul Hanim, Helmy, Khaled Mohamed, Wei, Chern Ang, Zainol Abidin, Ida Zaliza
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia 2019
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/26845/1/JICT%2018%204%202019%20415-438.pdf; http://repo.uum.edu.my/26845/; http://jict.uum.edu.my/index.php/previous-issues/168-journal-of-information-and-communication-technology-jict-vol-18-no-4-october-2019
• Institution: Universiti Utara Malaysia

The emergency department (ED) of a hospital is an important unit that deals with time-sensitive and life-threatening medical cases. Rapid treatment and accuracy in diagnosis are considered the main characteristics of excellent operational processes in ED. However, in reality, long waiting time and...