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

TOKMAKÇI M., Unalan D., Soyuer F., ÖZTÜRK A.

EXPERT SYSTEMS WITH APPLICATIONS, vol.34, no.2, pp.958-963, 2008 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 34 Issue: 2
  • Publication Date: 2008
  • Doi Number: 10.1016/j.eswa.2006.10.026
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.958-963
  • Keywords: adaptive network-based fuzzy inference system (ANFIS), stroke, quality of life, STROKE, SF-36, IDENTIFICATION, SURVIVORS, AUCKLAND
  • Erciyes University Affiliated: Yes

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. (c) 2006 Elsevier Ltd. All rights reserved.