BIG-OMIC AND DIGITAL HEALTH RECORDS USING BIG DATA ANALYTICS FOR ACCURATE MEDICINE

Authors

  • Siripurapu Palavelli M.Tech, Dept of CSE, Sanketika Vidhya Parishad Engineering College
  • R.S. Ravindra Babu Assistant Professor, Dept of CSE, Sanketika Vidhya Parishad Engineering College
  • R.S. Ravindra Babu Assistant Professor, Dept of CSE, Sanketika Vidhya Parishad Engineering College

Keywords:

Big Data analytics; clinically actionable genetic variants; electronic health records; healthcare; next-generation sequencing

Abstract

Genomic medication tries to create individualized strategies for characteristic or healing essential authority by utilizing patients' genomic information. Gigantic Data examination uncovers covered structures, darken connections, and distinctive bits of learning through investigating far reaching scale diverse educational files. While blend and control of arranged genomic data and careful electronic wellbeing records (EHRs) on a Big Data establishment show troubles, they moreover give a conceivable opportunity to develop a gainful and convincing approach to manage perceive clinically noteworthy genetic varieties for individualized finding and treatment. In this paper, we review the challenges of controlling tremendous scale cutting edge sequencing (NGS) data and varying clinical data got from the EHRs for genomic prescription. We present possible responses for different troubles in controlling, regulating, and exploring genomic and clinical data to execute genomic drug. Besides, we also present a rational Big Data toolset for perceiving clinically critical innate varieties using high-throughput NGS data and EHRs

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Published

2018-12-19

How to Cite

Palavelli, S. ., Babu, R. R. ., & Babu, . R. R. . (2018). BIG-OMIC AND DIGITAL HEALTH RECORDS USING BIG DATA ANALYTICS FOR ACCURATE MEDICINE. International Journal of Technical Innovation in Modern Engineering & Science, 4(12), 317–321. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/192