THE HYBRID TECHNOLOGY OF ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS FOR EFFECTIVELY HANDLING HEALTHCARE DATA Authors: Sugantha Priya.S , SHANMUGA PRIYA. G, DHARUN KUMAR.A, YOGESHWARAN.S AND SOWMIYA.S
ABSTRACT
The phrase "health" refers to the surveillance of one's health through smartphones & patients
monitoring equipment, among other things. This is generally identified as the highest important
technological advancement of the modern era. So, Artificial Intelligence (AI) but instead big information
analyses have lately become employed within medicine throughout addition to providing more
significantly efficient manner. Electronic Health Records (EHRs), medicinal images, especially enhanced
texts are all examples with different sorts of data. have been used in the present medical investigation.
These data are varied, poorly understood, and unorganized. Based on the surge in smartphone applications and medical systems, there was a big increase in the amount of disordered and unstructured
data produced. In this work, comprehensive evaluations of their implementation integrating AI but also
Big Data Analytics information analytics towards improve that healthcare infrastructure being carried out.
Different Big Data Information approaches and architectures depending on AI were also examined in
terms of information sources, methodologies employed, and implementation field. This research looks at
potential applications integrating AI but also humongous information processing that provides customers
with information but instead planning tools. Specifically addressing growth issues, which proposes a
comprehensive platform towards treatment centered on AI but also Big information analysis. Overall
outcomes from such study would have a significant impact on effect overall development of various
techniques to handling medical knowledge more effectively using a combination of AI using Big Data
Analytics has primary resources.
Keywords: Methods of Healthcare treatment; Big Data Analytics; Artificial Intelligence; Electronic
Health Records Publication date: 01/11/2021 https://ijbpas.com/pdf/2021/November/MS_IJBPAS_2021_NOV_SPCL1100.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2021/10.11.1100