Principal component analysis of infertility data
Joint Authors
Muhammad, Hind Rustum
Dakhil, Nazirah Khalil
Abbud, Haydar
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 1, Issue 8 (31 Dec. 2013), pp.75-78, 4 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2013-12-31
Country of Publication
Iraq
No. of Pages
4
Main Subjects
Topics
Abstract EN
This paper applied PCA on infertility set of data, that was collected from Al-Nasiriya province.
Infertility of women that have been unable to conceive a child after one year of their marriage without birth control.
Since infertility is very common among Iraqi women.
Hence our research mainly concern with this disease in order to identify the causes that contribute to this problem
American Psychological Association (APA)
Dakhil, Nazirah Khalil& Muhammad, Hind Rustum& Abbud, Haydar. 2013. Principal component analysis of infertility data. Journal of Kufa for Mathematics and Computer،Vol. 1, no. 8, pp.75-78.
https://search.emarefa.net/detail/BIM-373853
Modern Language Association (MLA)
Dakhil, Nazirah Khalil…[et al.]. Principal component analysis of infertility data. Journal of Kufa for Mathematics and Computer Vol. 1, no. 8 (Dec. 2013), pp.75-78.
https://search.emarefa.net/detail/BIM-373853
American Medical Association (AMA)
Dakhil, Nazirah Khalil& Muhammad, Hind Rustum& Abbud, Haydar. Principal component analysis of infertility data. Journal of Kufa for Mathematics and Computer. 2013. Vol. 1, no. 8, pp.75-78.
https://search.emarefa.net/detail/BIM-373853
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 78
Record ID
BIM-373853
