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  • 1995-1999  (3)
  • Familial aggregation  (2)
  • Dirichlet conjugate priors  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Acta diabetologica 33 (1996), S. 145-149 
    ISSN: 1432-5233
    Keywords: Key words  Type 2 diabetes ; Kuwait ; Familial aggregation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract   The reported prevalence of type 2 diabetes among the Kuwaiti population varied from one source to another. This study was undertaken to define the magnitude of the problem and to suggest plans for future diabetic care. All type 2 Kuwaiti diabetic subjects registered and continuing to attend regularly in two health areas Mubarak Health Area (MHA) and Farwania Health Area (FHA)] were selected for the study. There were 3222 in MHA and 5114 in FHA among the Kuwaiti population aged 20 years and above, accounting for a total crude prevalance of 7.6% in both health areas and for a prevalence rate of 5.6% in MHA and 10.0% in FHA. The age-specific prevalence of type 2 diabetes in both areas combined rose from 2.639 per 100 population in the age group 20–39 years to 15.350% and 26.252% in the age groups 40–59 and 60 and above, respectively. The female to male ratio was 1.7, 1.6, 1.1, respectively, in MHA and 1.7, 2.0, 0.9 in FHA for the age groups 20–39, 40–59, and 60 and above. This study shows that type 2 diabetes is a major public health problem in Kuwait, with a female preponderance. Obesity is a characteristic feature of the population studied, with a mean body mass index of 31.8±6.3 and 28.5±5.1 in women and men, respectively. A positive family history of diabetes mellitus was reported in 63% of the diabetic subjects. There is a need to standardize methods of reporting and to plan a national screening survey.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Acta diabetologica 33 (1996), S. 145-149 
    ISSN: 1432-5233
    Keywords: Type 2 diabetes ; Kuwait ; Familial aggregation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract The reported prevalence of type 2 diabetes among the Kuwaiti population varied from one source to another. This study was undertaken to define the magnitude of the problem and to suggest plans for future diabetic care. All type 2 Kuwaiti diabetic subjects registered and continuing to attend regularly in two health areas Mubarak Health Area (MHA) and Farwania Health Area (FHA)] were selected for the study. There were 3222 in MHA and 5114 in FHA among the Kuwaiti population aged 20 years and above, accounting for a total crude prevalance of 7.6% in both health areas and for a prevalence rate of 5.6% in MHA and 10.0% in FHA. The age-specific prevalence of type 2 diabetes in both areas combined rose from 2.639 per 100 population in the age group 20–39 years to 15.350% and 26.252% in the age groups 40–59 and 60 and above, respectively. The female to male ratio was 1.7, 1.6, 1.1, respectively, in MHA and 1.7, 2.0, 0.9 in FHA for the age groups 20–39, 40–59, and 60 and above. This study shows that type 2 diabetes is a major public health problem in Kuwait, with a female preponderance. Obesity is a characteristic feature of the population studied, with a mean body mass index of 31.8±6.3 and 28.5±5.1 in women and men, respectively. A positive family history of diabetes mellitus was reported in 63% of the diabetic subjects. There is a need to standardize methods of reporting and to plan a national screening survey.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 26 (1997), S. 43-63 
    ISSN: 0885-6125
    Keywords: Beta distribution ; Dirichlet distribution ; Dirichlet conjugate priors ; evidence propagation ; parameter estimation ; prior assessment of hyperparameters ; time series.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract In this paper we analyze the problem of learning and updating of uncertainty in Dirichlet models, where updating refers to determining the conditional distribution of a single variable when some evidence is known. We first obtain the most general family of prior-posterior distributions which is conjugate to a Dirichlet likelihood and we identify those hyperparameters that are influenced by data values. Next, we describe some methods to assess the prior hyperparameters and we give a numerical method to estimate the Dirichlet parameters in a Bayesian context, based on the posterior mode. We also give formulas for updating uncertainty by determining the conditional probabilities of single variables when the values of other variables are known. A time series approach is presented for dealing with the cases in which samples are not identically distributed, that is, the Dirichlet parameters change from sample to sample. This typically occurs when the population is observed at different times. Finally, two examples are given that illustrate the learning and updating processes and the time series approach.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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