Abstract
Modern data driven clinical healthcare application system development requires interdisciplinary and technical expertise to find hidden values from large volume of clinical data. Predictive big data analytics in combination with other technologies like machine learning is growing and is attracting much attention. Therefore, there is a need of integrated healthcare framework which can utilize the power of Predictive analytics, big data; Machine learning. In this paper, we have presented an integrated frame work for handling clinical data, which can act as reference for adoption and integration of clinical data. The purpose of the proposed integrated framework for Healthcare Clinical big data predictive analytics is to explore and combine the power of various analytical techniques and technologies so as to provide a comprehensive solution for value based healthcare. This framework is further committed to transform our perspective towards value based healthcare.
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Naqishbandi, T.A., Ayyanathan, N. (2020). Clinical Big Data Predictive Analytics Transforming Healthcare: - An Integrated Framework for Promise Towards Value Based Healthcare. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-030-24318-0_64
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