Volume 7 Issue 3 - September 2016

  • 1. A parameter based heart disease detection technique using mining technique

    Authors : P.sambasiva Rao P.sambasiva Rao

    Pages : 77-87

    DOI : http://dx.doi.org/10.21172/1.73.511

    Keywords : Keywords: HMM, Rule Based Approach, Genetic Algorithm for Search, Optimal Feature Selection

    Abstract :

    With the recent outbound spread of chronicle heart diseases across the world, irrespective of gender and age, the medical practitioners are focusing on preventive measures rather than curing methods. Thus the modern research trends are bound to provide the preventive extension to the medical science. Although the medical practices can generate gigantic amount of relevant data pertaining to the diseases, however the medical science fail to deploy any technique to mine the data for predictive models. Thus the data mining and predictive models are the most suitable way to provide the necessary tools for predictive analysis. The work deploys a novel principle attribute analysis to understand the orientation of the attributes affecting the results. The work is based on UCI database and implements a novel approach to extract the parameters influencing disease detection. The final outcome of this work is to generate the most influencing heart Disease detecting parameters.

    Citing this Journal Article :

    P.sambasiva Rao P.sambasiva Rao, "A parameter based heart disease detection technique using mining technique ", https://www.ijltet.org/journal_details.php?id=907&j_id=3320, Volume 7 Issue 3 - September 2016, 77-87, #ijltetorg