Classification Analysis of Gender Among Diabetic Patients in Nigeria Hospital
International Journal on Data Science and Technology
Volume 6, Issue 2, June 2020, Pages: 53-55
Received: Apr. 25, 2020;
Accepted: May 21, 2020;
Published: Aug. 10, 2020
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Ojo Timothy Ayodele, Lautech Teaching Hospital, Osogbo, Nigeria
Alabi Olatayo Olusegun, Department of Statistics, Federal University of Technology, Akure, Nigeria
Oyegoke Adiat Odunayo, Department of statistics, Osun State Polytechnic, Iree, Nigeria
Ayinde Liasu Adekunle, Department of statistics, Osun State Polytechnic, Iree, Nigeria
Ogunwole Bolawa Adijat, Department of statistics, Osun State Polytechnic, Iree, Nigeria
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In medical research there is few record on scientific method of discriminating and classifying gender statistically into groups of study. The purpose of this study is to use discriminant analysis and classification analysis to classify diabetic patient into groups of gender; to estimate the proportion of observations in each of the prior group; and to estimate the probability of correct classification and misclassification respectively. To this effect, a sample of 152 cases (diabetic patients) was observed with the following measurements: Age (x1), Urea (x2), temperature (x3), Fasting blood sugar (x4), Body mass index (x5), and marital status (x6). The gender was classified into male and female. We observed that the Discriminant Function Z=0.036x1+0.008 x2-0.897 x3-0.021 x4-0.017 x5-2.872 x6. Also 64.5% of the original grouped cases were correctly classified. The percentage of misclassification is 34.5%. Conclusively the measure of the predictive ability which is the percentage of correct classification shows that discriminant analysis can be used to predict diabetic patients into two classes of gender and can also be used to predict group membership of any subject matter.
Dicriminant, Classification, Multivariate, Misclassification, Diabetic Patient
To cite this article
Ojo Timothy Ayodele,
Alabi Olatayo Olusegun,
Oyegoke Adiat Odunayo,
Ayinde Liasu Adekunle,
Ogunwole Bolawa Adijat,
Classification Analysis of Gender Among Diabetic Patients in Nigeria Hospital, International Journal on Data Science and Technology.
Vol. 6, No. 2,
2020, pp. 53-55.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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