Title :
A belief rule based (BRB) system to assess asthma suspicion
Author :
Rahaman, Saifur ; Hossain, M. Shamim
Author_Institution :
Comput. Sci. & Eng, Univ. of Chittagong, Chittagong, Bangladesh
Abstract :
Asthma is a common chronic inflammatory disease. A belief rule based Clinical Decision Support System (CDSS) of asthma suspicion is enhancing the accuracy of suspicion. This research paper presents out the development of a Belief rule based (BRB) system to assess Asthma suspicion by using signs and symptoms. The recently developed generic belief rule-based inference methodology by using the evidential reasoning approach (RIMER) has been considered to develop this BRB system. This system can deal with various types of uncertainties, found in clinical sings, symptoms, and clinical domain knowledge. The knowledge base of this system has been constructed by taking account of real patient data and consultation with specialists. The practical case studies provided to test this system. It has been observed that the proposed model is effective and can generate better prediction than from manual system (usually carried out by specialist) in terms of accuracy.
Keywords :
belief networks; decision support systems; diseases; inference mechanisms; knowledge based systems; medical information systems; BRB system; CDSS; RIMER; asthma suspicion; belief rule based clinical decision support system; belief rule based system; chronic inflammatory disease; clinical domain knowledge; clinical signs; clinical symptoms; evidential reasoning; generic belief rule-based inference methodology; knowledge base; real patient data; Computer architecture; Erbium; Expert systems; Manuals; Medical services; Prototypes; Uncertainty; Asthma; Belief Rule Base (BRB); RIMER; Suspicion; signs and symptoms; uncertainity;
Conference_Titel :
Computer and Information Technology (ICCIT), 2013 16th International Conference on
Conference_Location :
Khulna
DOI :
10.1109/ICCITechn.2014.6997340
