A Study on Prediction of Birth Weight for Infants using Transition Probability Matrix with respect to Haemoglobin Count

Rapid developments in stochastic models in recent years have resulted in significant changes in the way the world operates. This has an impact on educational needs, both in terms of the content and the delivery of educational services and there has been increasing pressure on decision -makers to acquire new technologies. This paper examines the mature and premature birth using Haemoglobin count during pregnancy time by Transition Probability Matrix. The maternal variables such as maternal weight, maternal height, haemoglobin count and birth weight of babies are considered as important factors in the study of demographic and public health related issues. The result shows that the birth weight mainly depends on Haemoglobin concentration.