Large information analytics can improve affected person outcomes, enhance and customise care, enhance company collaborations with treatment holders and deduction the huge cost of clinical processes. This study defines the proper smart system of clinical records, huge information about clinical and diagnostics structures, the terminology of health data with structure. We applied the linear regression policy for a better understanding of data. Hence, we have provided the theoretical analysis regarding the challenge of data, its prediction, and the reduction of overfitted model. The difficulties of large dataset for analysing have also discussed in this paper using the features of Internet of thinking.
CITATION STYLE
Babu, S. Z. D., Pandey, D., Naidu, G. T., Sumathi, S., Gupta, A., Bader Alazzam, M., & Pandey, B. K. (2023). Analysation of Big Data in Smart Healthcare. In Lecture Notes in Computational Vision and Biomechanics (Vol. 37, pp. 243–251). Springer Science and Business Media B.V. https://doi.org/10.1007/978-981-19-0151-5_21
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