International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 7, July 2015 Edition [ISSN 2250-3153]


The Cortisol Awakening Response for Using Fuzzy Time Series and Genetic Algorithms
      P. Senthil Kumar, B. Mohamed Harif, A. Nithya
Abstract: A growing body of data suggests that a significantly enhanced salivary cortisol response to waking may indicate an enduring tendency to abnormal cortisol regulation. More methods have been proposed to deal with forecasting problems using fuzzy time series. In this paper, our objective was to apply the response test to a population already known to have long-term hypothalamo–pituitary–adrenocortical (HPA) axis dysregulation. We hypothesized that the free cortisol response to waking, believed to be genetically influenced, would be elevated in a significant percent age of cases, regard less of the afternoon Dexamethasone Suppression Test (DST) value based on fuzzy time series and genetic algorithms. The proposed method adjusts the length of each interval in the universe of discourse for forecasting the Longitudinal Dexamethasone Suppression Test (DST) data on a fully remitted lithium responder for past 5 years who was asymptomatic and treated with lithium throughout the experimental results show that the proposed method gets good forecasting results.

Reference this Research Paper (copy & paste below code):

P. Senthil Kumar, B. Mohamed Harif, A. Nithya (2018); The Cortisol Awakening Response for Using Fuzzy Time Series and Genetic Algorithms; Int J Sci Res Publ 5(7) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0715.php?rp=P434346
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