Abstract
Background: The developed Semi-Markov model with Kumaraswamy Exponentiated Inverse Rayleigh distribution examined patients with hypertension, heart diseases, smoking habits and Stroke, is measured from one state to another. Materials and Methods: Patients with Non-Communicable disease described through Kumaraswamy Exponentiated Inverse Rayleigh distribution. Results: The estimated parameters of Semi-Markov model with this distribution predicted by the maximum likelihood estimation for each successive state observed significant abnormality. The data noted predicts established model is a good fit for many attributes that prevailed in studied data. The developed Semi-Markov model is a best fit for non-Communicable disease in the long run of patient’s data. Through different Exponential family distribution, one can look at for further perfect fit of patient data, which is to be estimated. Conclusion: This model can be an alternative method to estimate the effect of patient in survival analysis, where it will be effective in time consumption in medical field. Keywords: heart diseases, hypertension, Semi-Markov processes, smoking, stroke.
Highlights
The World Health Organization (WHO) has predicted that Non-Communicable Diseases (NCDs) get about 40 million individuals worldwide each year [1]
The NCDs response concentrates on four key risk issues; harmful practice of liquor, physical lethargy, tobacco usage and unhealthy diet are the issues perceived by the WHO as significant elements leading to NCDs
Stroke in the human body immune system reveals the identical manner as a heart disease, but this stroke happens in brain which lead to damage
Summary
The World Health Organization (WHO) has predicted that Non-Communicable Diseases (NCDs) get about 40 million individuals worldwide each year [1]. The NCDs response concentrates on four key risk issues; harmful practice of liquor, physical lethargy, tobacco usage and unhealthy diet are the issues perceived by the WHO as significant elements leading to NCDs. In this article, through Semi-Markov Process (SMP) the four major NCDs are depicted with real-life data to find out the survival probability of patients. 15 million people worldwide suffer from stroke each year, with the amount of stroke deaths increases every year [3]. This stroke could even raise for the upcoming 20 years, in the developing countries [4]. The developed Semi-Markov model with Kumaraswamy Exponentiated Inverse Rayleigh distribution examined patients with hypertension, heart diseases, smoking habits and Stroke, is measured from one state to another
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