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Disease Predictive, Best Drug : Big Data Implementation of Drug Query with Disease Prediction, Side Effects & Feedback Analysis

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  • Naveenraj I
  • Thurab Ahmed A
  • Dilly Ganesh N
  • Gokula Krishnan
  • Hema latha
  • Subedha V

Abstract

In the existing system, several precautions should be taken in using pharmaceutical drugs, for both healthcare experts, who prescribe and administer drugs, and for drug purchasers. In the proposed gadget, side effects and effectiveness, relies upon on traits of patients, which include age, gender, existence, and genetic profiles. Our intention is to offer a device to help experts and consumers in locating and selecting pills. To reap this intention, we broaden an approach that lets in a person to query for pills that satisfy a fixed of situations based on drug residences, inclusive of drug symptoms, facet outcomes, and drug interactions, and additionally takes into account affected person profiles. The amendment paintings is the combination of big information and android primarily based input user with the aid of any consumer for smooth facts evaluation method. We also analyze the disease and satisfactory drug cautioned to that precise affected person via large facts analysis. Use can put up the query thru gadget or via android application additionally. We also set up appointment to the fine physician for the consultation based on person feedbacks.

Suggested Citation

  • Naveenraj I & Thurab Ahmed A & Dilly Ganesh N & Gokula Krishnan & Hema latha & Subedha V, 2017. "Disease Predictive, Best Drug : Big Data Implementation of Drug Query with Disease Prediction, Side Effects & Feedback Analysis," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 195-202, April.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172258
    Note: Article URL: https://ijsrcseit.com/CSEIT172258
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