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Application of data mining: Diabetes health care in young and old patients

Application of data mining: Diabetes health care in young and old patients

Starting at: Rs.5,500.00

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 Application of data mining: Diabetes health care in young and old patients

Research concentrates upon predictive analysis of diabetic treatment using a regres-sion-based data mining technique. The Oracle Data Miner (ODM) was employed as a software mining tool for predicting modes of treating diabetes. The support vector machine algorithm was used for experimental analysis. Datasets of Non Communicable Diseases (NCD) risk factors in Saudi Arabia were obtained from the World Health Organization (WHO) and used for analysis. The dataset was studied and analyzed to identify effectiveness of different treatment types for dif-ferent age groups. The five age groups are consolidated into two age groups, denoted as p (y ) and p ( o) for the young and old age groups, respectively. Preferential orders of treatment were investi-gated. We conclude that drug treatment for patients in the young age group can be delayed to avoid side effects. In contrast, patients in the old age group should be prescribed drug treatment imme-diately, along with other treatments, because there are no other alternatives available.


 


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  • Model: PROJ7663
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Wednesday 09 August, 2017.

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