Fast Pattern Discovery in Healthcare Data Using Graphics Processors

  • Naseem Rao Assistant Professors, CSE Department, Hamdard University, Delhi, India
  • Safdar Tanweer Assistant Professors, CSE Department, Hamdard University, Delhi, India

Abstract

The mobile medical diagnosis and health monitoring system helps in managing the various chronic diseases like asthma, blood pressure and heart diseases etc. in consultation with the remotely available physicians by initiating the emergency call automatically on the physician’s mobile phone and providing the on-line vital medical parameters captured by the body area sensor network of the patient. We observed that a GPU based solution can outperform a CPU based solution by more than 30% in terms of speed up, while giving same accuracy of results, divided among healthy, normal and unhealthy patients. Finally, key parameter to model our health care data likestandard deviations of {1, 0.5, 0.5}, means of {(1, 1), (0, 0), (-1,-1)} are used to study healthy persons and unhealthy patients.


Keywords: Healthcare ; GPU; EEG; PCG; datastructure

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Author Biographies

Naseem Rao, Assistant Professors, CSE Department, Hamdard University, Delhi, India

Assistant Professors, CSE Department, Hamdard University, Delhi, India

Safdar Tanweer, Assistant Professors, CSE Department, Hamdard University, Delhi, India

Assistant Professors, CSE Department, Hamdard University, Delhi, India

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How to Cite
Rao, N., & Tanweer, S. (2019). Fast Pattern Discovery in Healthcare Data Using Graphics Processors. Journal of Drug Delivery and Therapeutics, 9(1-s), 358-360. https://doi.org/10.22270/jddt.v9i1-s.2446