Abstract
In the field of engineering and medical science domains, organized, semi-organized, and unstructured data are rapidly growing in recent years. The healthcare sector has been tackled by requirements of big data being generated by different origin, which are outstanding for delivering high volumes of heterogeneous information. Big data analysis on the healthcare domain relays on the utilization of convenient tools and architecture. In the recent past a lot of analyses have been conducted on application-specific healthcare foundation, which results in data-precise competence for managing sources of information ranging from digital health documents to pictures of different body parts. In this manuscript, we have focused on different critical avenues that exist in the electronic health repository from the point of view of different contributors. Authors studied on the different massive data groundwork underlying sources of data, problem-solving capability, and different application areas.
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Tripathy, S., Swarnkar, T. (2021). Application of Big Data Problem-Solving Framework in Healthcare Sector—Recent Advancement. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_88
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DOI: https://doi.org/10.1007/978-981-15-5971-6_88
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