Increasing demand and costs for healthcare is a challenge because of the high populations and the difficulty to cover all patients by the available doctors. The healthcare data processing and management became a challenge because the problems with the data itself like irregularity high-dimensionality, and sparsity. A number of researchers worked on these problems and provided some efficient and scalable healthcare solutions. we present the algorithms and systems for healthcare analytics and applications and some related solutions. The solution what we propose is depending on adding a new layer as middleware between the sources of heterogeneous data and the Map reduce Hadoop cluster. The solution solved the common problems of dealing with heterogeneous data effectively.
CITATION STYLE
Ismail, A., Shehab, A., & El-Henawy, I. M. (2019). Healthcare Analysis in Smart Big Data Analytics: Reviews, Challenges and Recommendations. In Lecture Notes in Intelligent Transportation and Infrastructure (Vol. Part F1404, pp. 27–45). Springer Nature. https://doi.org/10.1007/978-3-030-01560-2_2
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