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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 5, Issue , April 2013 pp 54-59

Research Article

Identifying Health Checkup Patients Blood Pressure Profile Using TwoStep Cluster Analysis

G. Manimannan, S. Hari and G. Vijaythiraviyam

Department of Statistics, Madras Christian College, Tambaram, Chennai, Tamil Nadu, INDIA.

Academic Editor:  Dr. Dase R.K.



 In this research paper we analyze information about the Blood Pressure (BP) systolic and diastolic of Master Health Checkup (MHC) patients of a secondary data, dividing them into six clusters, using Two Step Cluster method. This method is ideal for our case study because, compared to other traditional clustering techniques, Two Step uses combination of data (both continuous and categorical variables) and it also finds the best possible number of clusters. In particular, this area was chosen as a model to study Master Health Checkup (MHC). The data were collected from secondary source containing 460 patients. The case sheet deals with demographic characteristics, Blood Pressure, Fat, Liver and diabetic parameters. In our study, we concentrate on age, BP Systolic and diastolic only. Two Step Cluster analysis creates six type BP Systolic and diastolic MHC patients reports. In BP systolic the first, third and fourth cluster contains pre hypertension patients, the second cluster  consist of desired and hypotension patients, but the fifth and sixth cluster consists of mixed BP systolic MHC patients. In BP diastolic the first cluster contains hypertension, the second and fourth cluster consists of desired and hypotension, the third cluster contains pre hypertensions, the fifth cluster contains mixed BP diastolic, the last cluster is accommodated by pre hypertension and hypertensive crisis.

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