Novel Algorithm of CPU-GPU hybrid system for health care data classification

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

Abstract

Due to advancements in portable health monitoring technology, such systems have become more and more economical & efficient. This in turn has resulted in a huge amount of data being generated every moment by millions of users of such portable devices. Such voluminous data may include audio, video, and image, and text representing blood pressure, temperature, vocal activity, ECG, sugar level etc. In the Proposed algorithm, first step is assignment, where clusters are assigned to a patient data and the  second step is update, which takes the mean of the coordinates of all the data in its cluster.  Medical practitioners and service providers can use such data to discover various patterns and useful insights. Such insights can be very useful on understanding various trends during epidemics, such as Malaria, Dengue, Chikungunya and other such outbreaks. A faster and economical way to get such insights is of paramount importance.


Keywords: health monitoring; GPU; ECG; epidemics; data mining

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Author Biographies

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

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

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

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

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How to Cite
Tanweer, S., & Rao, N. (2019). Novel Algorithm of CPU-GPU hybrid system for health care data classification. Journal of Drug Delivery and Therapeutics, 9(1-s), 355-357. https://doi.org/10.22270/jddt.v9i1-s.2445