Alarming surge in amounts of diverse data in various domains has contributed to ever-growing research in Big Data Analytics globally. Despite the enormous boom in effective application of Big Data Analytics, health care has not entirely clutched the possible benefits. This paper studies the design, development, functionalities, and upcoming trends in investigation of Big Data Analytics. In this paper, the five Big Data Analytics’ potentials are showcased along with advantages in relation to infrastructural, organizational, operational, managerial, strategic areas, and articulation of latest trending areas. Current paper will be greatly advantageous to fellow researchers not just with fundamental facets pertaining to Big Data Analytics in healthcare domain but also a summary of research gaps, latest trends, and developments, thereby opening new avenues for future research.
CITATION STYLE
Bharate, M., & Panicker, S. S. (2022). HealthCare Data Analytics: A Machine Learning-Based Perspective. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 126, pp. 333–353). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2069-1_24
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