Determination of Hazard State of Non-Communicable Diseases Using Semi-Markov Model

Background: The developed Semi-Markov model with Kumaraswamy Exponentiated Inverse Rayleigh distribution examined patients hypertension, heart diseases, smoking habits and Stroke, is measured from one state to another. Materials Methods: Patients Non-Communicable disease described through distribution. Results: estimated parameters of this predicted by the maximum likelihood estimation for each successive observed significant abnormality. data noted predicts established a good fit many attributes that prevailed in studied data. best non-Communicable long run patient’s Through different Exponential family distribution, can look at further perfect patient data, which be estimated. Conclusion: This an alternative method estimate effect survival analysis, where it will effective time consumption medical field. Keywords: processes, smoking, stroke.