Markov models in Statistical analysis and Forecasting to Prepare the injured and deseased cancer diseases for children in the [14-0] age group in the province of Basra , An Empirical study of the presidency of the basra health records for the period (2008-2011).

Abstract

ive been the province of basra in periods of the nineties and the beginning of 2003 to the environmental pollution as well as greenhouse gas emissions to an the proportion of cancer morbidity in the whole of Iraq in basra province in particular , and for all age groubs, including the category of children (0-14) .AS a result of environmental pollution grand suffered by the Iraqi environment by wars, especially in southern iraq , increased cancer diseases as well as the emergence of diseases peculiar other most important diseases , cancer of the blood which was not known in Iraq . Therefor Through Aldrashtm predict the numbers injured and deceased disease cancer of childhood in the province Basra, using Markov chains in statistical analysis. And the development of a certain mathematical formula linking Markov chains and dynamic programming to predict the future , in the study of random processes characterized by the condition in the past . This type of random processes called Markov processes . A To predict that the exast prominent and important role what will be the decision – making process . And give avision for the future of what will be the variables and phenomena vialmstqubl . The success of the buttock is usually measured accurately and prediction methods including that form the basis it is clear onalaslob in the basic information for health instutions and research centers and The development of health policy for the actual health institutions to take advantageof the scientific study of applied in the fiald of childhood .