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  • 标题:Differential Incidence of Type II Diabetes Mellitus between Male and Female using Beta Binomial Model
  • 本地全文:下载
  • 作者:Matthew Aina ; Muhammed Besiru Jibrin ; Usman Abubakar Jauro
  • 期刊名称:Annals. Computer Science Series
  • 印刷版ISSN:1583-7165
  • 电子版ISSN:2065-7471
  • 出版年度:2019
  • 卷号:17
  • 期号:1
  • 页码:214-219
  • 出版社:Mirton Publishing House, Timisoara
  • 摘要:

    One of the life threaten diseases with a long duration and considerable associated morbidity is type II diabetes mellitus. This disease affects a large populations around the world regardless of economic status and its predominance is rising despite the struggles of clinicians, researchers and public health professionals. This paper intends to analysis gender sensitivity to type II diabetes mellitus. Secondary data used in this study was obtained for a period of 10 years from medical records of General Hospital, Ifaki-Ekiti, Ekiti state, Nigeria. A Beta-Binomial Model was applied by incorporating Bayesian Statistical Technique to determine the hypothesis testing, credible interval and posterior probability distribution of the incidence of type II diabetes mellitus between Male and Female patients. Experimental results revealed that male patients are more sensitive to type II diabetes mellitus, therefore, males are more affected with type II diabetes mellitus than female.

  • 关键词:Beta-Binomial; Bayesian; Diabetes Mellitus; Morbidity; Sensitivity nature
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