Effective hypertensive treatment using data mining in Saudi Arabia.
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.
Almazyad
Abdulaziz S
AS
College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Ahamad
Mohammed Gulam
MG
Siddiqui
Mohammad Khubeb
MK
Almazyad
Abdullah S
AS
D000328:Adult; D017677:Age Distribution; D000368:Aged; D057225:Data Mining; D020000:Decision Support Systems, Clinical; D003661:Decision Support Techniques; D006801:Humans; D006973:Hypertension / Q000401:mortality* / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012529:Saudi Arabia / Q000453:epidemiology; D016019:Survival Analysis; D015996:Survival Rate; D013813:Therapy, Computer-Assisted / Q000379:methods*