The reevaluate statistical results of quality of life in patients with cerebrovascular disease using adaptive network-based fuzzy inference system

Authors:
Mahmut Tokmakçı;Demet ínalan;Ferhan Soyuer;Ahmet Öztürk
Affiliations:
Erciyes University, H.B. Health Services Vocational College, 38039 Kayseri, Turkey;Erciyes University, H.B. Health Services Vocational College, 38039 Kayseri, Turkey;Erciyes University, H.B. Health Services Vocational College, 38039 Kayseri, Turkey;Erciyes University, Faculty of Medicine, Expert in Department of Biostatistics, 38039 Kayseri, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

In this paper, the research data about quality of life in persons with cerebrovascular disease (CVD) is examined by Adaptive-Network-based Fuzzy Inference system (ANFIS) and these results are compared with statistical results obtained from the same data. The major parameters which are determined for quality of life levels are chosen as physical functions, social functions, and mental changing of the person. The aim of this study is to show that the expert based systems can be used to help the classic statistical computation systems on health and/or social problems.