Clinical Decision Support System for Detection of Dengue: A Case Comparison Using AHP and Fuzzy AHP

Abstract

Dengue fever is caused due to the mosquito (Aedel aegypti) bite. The symptoms of this fever are similar to other fevers such as Malaria, Chikungunya, and Zika. A common sign of Dengue fever is the sharp fall of blood platelet count, amongst a host of other confusing symptoms, which makes Dengue difficult to diagnose, especially by an inexperienced physician. The purpose of this study is to outline a decision support system (DSS) which would come to the aid of detection of Dengue fever by carrying out an analysis of AHP and fuzzy AHP (FAHP) methodology. The data of confirmed Dengue as diagnosed by a physician is picked up, examined independently using AHP and FAHP approach, and the results obtained are then compared with the diagnosis report of an expert doctor. The outcome is encouraging and indicates that expert systems can be leveraged for the diagnosis of Dengue and can be a useful tool for non-expert physicians.