Abstract
Day by day the size of the digital data is increasing due to the rapid advancement of information technology. This is happening in every digitalized sector. Analysis and processing of this big quantity of data are very challenging. Big data is one of advanced data analysis technology that has been introduced by the researchers for handling the data having large volume, velocity, variety, value, and veracity. Due to the digitalization in the healthcare sector, the generation of different health-related data is growing day by day. Use of big data in the healthcare sector helps physicians to process as well as extract useful information from these large amounts of data. The authors in this chapter have discussed several applications of big data in the healthcare sector. Also, a case study on big data technology for classifying the cardiac data in the multi-agent framework is proposed. This system is classifying different cardiac abnormalities by using a support vector machine (SVM). From the result, it is observed that the multi-agent system providing better performance and can be considered for any real-time application for cardiac disease detection.
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Mohapatra, S.K., Mallick, P.K., Mohanty, M.N. (2021). Big Data Application in Health Care: A Study. In: Tripathy, H.K., Mishra, S., Mallick, P.K., Panda, A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_2
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