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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

PREDICTIVE MODELING AND OPTIMIZATION OF PHYSIOLOGICAL VARIABLES IN HUMANS FROM CONCEPTION TO MATURITY

Kamalu C. I. O., Obibuenyi J.I., Dozie I.N.S., *Obijiaku J.C., Nwakaudu M.S., Oghome P., Uzondu F.N., Okolie I.J.

ABSTRACT

In this work, physiological variation with its variable parameters from conception maturity of a foetus, was modeled using general growth logistic model. Physiological data from conception to maturity via gestation were obtained through the internet from WHO and research institutions for the validation of the developed models. It was seen that the physiological variable parameters, like the variable parameters of natural growth models, fitted the model very well, with accuracies ranging from 96.96 to 99.93%, which goes to reveal that the physiological activities obey natural growth models. The optimum result obtained are as follows; 20 million sperm count can make 2.4% pregnancy with an accuracy of 98.62%. 17 million sperm count can make 1.12% not pregnant with an accuracy of 98.14%. 1.27% egg penetration is achieved in 7 minutes with an accuracy of 99.93%. An optimum of 0.12 sperm per egg per minute is made in 130 minutes with an accuracy of 99.57%. Also, an optimum value of 0.45 embryo score per pregnancy rate is made with 32% pregnancy with the accuracy of 96.96%. A foetus can weigh 201g per week in 33 weeks with an accuracy of 99.93%. An optimum of 2cm growth for foetus per week for every 22 weeks with 98.69% accuracy. These findings can be applied in so many hospitals, pregnancy care centers and maternities etc, to predict certain variables during physiological activities in humans.

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