Online Disease Diagnostics and Identifying Neurological Condition of Individuals using Big Data Analytics and Machine LearningAlgorithms

Volume 20 No 6 (2022)

Afreen Banu.E V. Rajamani

DOI: 10.14704/nq.2022.20.6.NQ22589

Abstract

The colossal and devastating volumes of the medical records and unremitting flow of big data streams from the Internet of Medical Things (IoMT), mobile applications, and health clouds impose unprecedented challenges in the global healthcare sector. Developing platforms for ingesting, processing, archiving, and investigating such streams of big data in real-time emergency cases is a cumbersome process.

Keywords

Big data analytics; classification accuracy; fast decision-tree classification, data streaming; disease diagnostics support; online risk prediction; Silhouette coefficient

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