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  • October 31, 2010

Effective Hypertensive Treatment using Oracle Data Mining in Saudi Arabia

Charlie Berger
Sr. Dir. Product Management, Machine Learning, AI and Cognitive Analytics

A new paper referecing the use of Oracle Data Mining studying the effective use of hypertensive treatment in Saudia Arabia has recently been published.  See link and abstract below. 

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Journal of Clinical Monitoring and Computing

DOI: 10.1007/s10877-010-9260-2  Springer 2010.


ABSTRACT. In the present investigation, the data sets of NCD (Non Communicable Diseases) risk factors, a standard report of Saudi Arabia 2005, in collaboration with WHO (World Health Organisation) were employed. The Oracle Data Miner (ODM) tool was used for the analysis and prediction of data. The data sets for different age groups in case of blood pressure treatment for hypertension for male using different modes had been studied. The age group was in between of 15 and 64 years. Data mining had been an appropriate and sufficiently sensitive method to analyze the outcomes of which mode of treatment is more effective to which age group. The five age group of NCD data had been put into two age groups of young and old denoted as 'Y' and 'O' respectively. Data mining showed that all the five modes of treatments were effective for older people due to hypertension at older ages.

Effective hypertensive treatment using data mining in Saudi Arabia .pdf

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