A HYBRID APPROACH TO BABY SEX PREDICTION USING CERVICAL MUCUS, BASAL BODY TEMPERATURE AND LUTEINIZING HORMONE

  • E C Nwokorie
  • J N Odii
  • F C Opara
  • S O Njoku
  • C M Ugwu

Abstract

The desire to have a baby of a particular sex has caused many marital problems and led many homes to have a large number of children they never planned for, resulting in population explosion in the country. The baby gender application predicts the days in a woman's monthly cycle in which intercourse results in either a baby boy or a baby girl or no conception at all (safe days of her cycle). It alerts the woman when her menses is to set in by the following month (after the first month of usage for the essence of data collection, which is used in the predictions). The system provides answers to frequently asked questions about the Shettles model of baby gender prediction which was adopted for this work. It also gives information on precautions to take during the process of having intercourse so that conception can result in having the baby gender of choice. The Rapid Application Development Methodology was adopted in the development of the system. The tools used include: Adobe Photoshop, Eclipse Integrated Development Environment (IDE), the Java Development Kit (JDK) 7.0 and Extended Markup Language (XML). Using the system makes the monitoring of a woman's menstrual cycle easier. The combination of the Cervical Mucus prediction, the Basal Body Temperature prediction and the Luteinizing Hormone (LH) surge prediction increased prediction accuracy.

Published
May 8, 2017
How to Cite
NWOKORIE, E C et al. A HYBRID APPROACH TO BABY SEX PREDICTION USING CERVICAL MUCUS, BASAL BODY TEMPERATURE AND LUTEINIZING HORMONE. International Journal of Gender and Development Issues (IJGDI), [S.l.], v. 1, n. 7, p. 116-126, may 2017. ISSN 2545-501X. Available at: <http://ijgdi-futo.com/index.php/futo/article/view/166>. Date accessed: 19 nov. 2018.
Section
Articles