Predictive Analysis on Hypertension Treatment using Data Mining Approach in Saudi Arabia

DOI: 10.4236/iim.2011.36031   PDF   HTML     5,994 Downloads   11,480 Views   Citations


In the present investigation, the data sets of (Non Communicable Diseases) NCD risk factors a standard report of Saudi Arabia 2005 in collaboration with World Health Organisation have been employed for regression analysis using data mining technique and that leads to the prediction of which treatment contributes more to improvement in hypertension. The Oracle Data Miner (ODM) tool has been used for the analysis of data. The data sets for different age groups in case of blood pressure treatment for hypertension for Male using different modes have been studied. The age group is in between of 15 years to 64 years. Data mining is an appropriate and sufficiently sensitive method to analyze outcomes of which mode of treatment is more effective to which age group. The Oracle data miner predicts the best mode of treatment for each group by which one can analyse the appropriate treatment. The predictions are also been compared with the help of residual plots. The residual graphs have been correlated with the predictions.

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A. Aljumah, M. Ahamad and M. Siddiqui, "Predictive Analysis on Hypertension Treatment using Data Mining Approach in Saudi Arabia," Intelligent Information Management, Vol. 3 No. 6, 2011, pp. 252-261. doi: 10.4236/iim.2011.36031.

Conflicts of Interest

The authors declare no conflicts of interest.


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