Abstract
In this article, we evaluate and discuss the implications of data analytics and Hadoop on clinical image analysis based on predictive algorithms. Each day, the healthcare industry analyses massive amounts of data. A large number of images were produced by various instruments on the patient in various medical situations. Numerous image processing methods and techniques are being developed in an attempt to obtain the most accurate information from images in order to provide an accurate diagnosis. To achieve maximum performance, both current and constantly evolving big data and hadoop ideas may provide more from image processing. The article examines the importance of big data analytics and hadoop in medical image processing utilizing HIPI and Map reduction inside the future implementation of Big data analytics (BDA) and Map reduction.
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