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Analysis of Numerical and Categorical Prediction Algorithms : A Case Study of Hypertension

Ashwini Menon

Abstract


An extremely wide variety and volume of data  are generated  by  the  healthcare  industries  which  can  be  effectively utilized  by  applying  data  mining  techniques  so  as  to  attain significant   knowledge   that   can   aid   the   process   of   decision making.  In  this  paper  an  analysis  of  Prediction  Algorithms  is performed  using  clinical  data  of  hypertension  patients.  Data mining  techniques  are  effectively  employed  to  estimate  systolic and  diastolic  blood  pressure  of  patients  and  categorize  the  risk level for each patient.

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