Evaluating the severity of dementia of Alzheimer's disease by a characteristic-point-based fuzzy inference system

Tang Kai Yin, Nan-Tsing Chiu

研究成果: Article同行評審

摘要

Cognitive ability screening instrument (CASI) is a cross-cultural mental screening test to evaluate the severity of dementia of Alzheimer's disease. In this research, a characteristic-point-based fuzzy inference system (CPFIS) is proposed to predict the CASI scores from the single-photon emission computed tomography (SPECT) volumes. Experiment results showed that CPFIS could provide a rough estimation of CASI scores that the P value for the hypothesis that the average of absolute errors of CPFIS is less than the average of absolute differences from the mean values was 0.0447. For comparison, a weighted support vector regression (SVR) machines was also tried. The performance of CPFIS was slightly better than SVR in this study (P=0.068).

原文English
頁(從 - 到)94-105
頁數12
期刊International Journal of Fuzzy Systems
8
發行號2
出版狀態Published - 2006 六月 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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