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Poster: The Future to Personalize Medicine Is in Your Smart-device

Published:25 June 2016Publication History

ABSTRACT

Most medicine taker may not aware of the details of a drug's brand name and manufacturer, indications, dosage, interactions, and side effects of the medicine. In order to avoid over-prescriptions, to prevent medicinal misuse and side effects of medicine, it is necessary for medicine takers to be provided with the detailed information about the medicine. This can be achieved by personalizing the medicines using smart-devices. In this work, we proposed a personalized medicine system to provide the information about a medicine through automatic text recognition from the imprints of the medicine and transmission using smart-devices. The system is fast enough to display the associated information of the medicine in real-time.

References

  1. T. Dutta. Medical Data Compression and Transmission in Wireless Ad Hoc Networks. IEEE Sensors Journal, 15(2):778--786, 2015.Google ScholarGoogle Scholar
  2. T. Dutta, D. Dogra, and B. Jana. Object Extraction Using Novel Region Merging and Multidimensional Features. In Proc. of PSIVT, pages 356--361, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Poster: The Future to Personalize Medicine Is in Your Smart-device

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      • Published in

        cover image ACM Conferences
        MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion
        June 2016
        172 pages
        ISBN:9781450344166
        DOI:10.1145/2938559

        Copyright © 2016 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 25 June 2016

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        Overall Acceptance Rate274of1,679submissions,16%

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