Data Analytics in Health Management System

Madhav Singh Solanki

doi:10.55524/ijircst.2021.9.6.51

Abstract

Large information, a quickly creating theme, has begun to have a crucial influence in the production of medical care exploration and practices. It has enabled people to assemble, put together, examine, or ingest monstrous volumes of heterogeneous, coordinated, and unstructured information made by the present wellbeing frameworks. Large information investigation has as of late been utilized to help with the conveyance of care and infection research. In any case, a few major hardships innate in the huge information worldview keep on preventing acknowledgment and examination extension in this field. We address a portion of these crucial difficulties in this paper, with an emphasis on three arising and entrancing disciplines of clinical science: picture, sign, and age sequencing investigation. The utilization of huge volumes of clinical information while consolidating multimodal information from numerous sources is investigated considering current discoveries. Potential examination subjects in this space that can impact medical care arrangement are likewise assessed.

Keywords

Big Data, Data Analytics, Health Care, Hospital Management, HADOOP.

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Cites this article as

M. S. Solanki "Data Analytics in Health Management System", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-9, Issue-6, Page No-229-233, 2021. Available from: https://doi.org/10.55524/ijircst.2021.9.6.51

Corresponding Author

Madhav Singh Solanki

SOEIT, Sanskriti University, Mathura, Uttar Pradesh, India (madhavsolanki.cse@sanskriti.edu.in)

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