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Knowledge Discovery Through Intelligent Data Analytics in Healthcare
Abstract
The chapter aims to embed the demanding computing concepts to attain intelligent data analytics in the domain of healthcare. The targeted outcome provides the pathway to design the brainy decision support system needed to have efficient prediction with trained input patterns. The usage of IoT devices is increasing tremendously to overcome the challenges existing in handling the data related to human-relevant happenings. The volume, velocity, and variety of data are emerging newly and dominating the decision support characteristics. This scenario happens almost in all the computing fields, but more attention is expected to implement in the healthcare sector due to the existence of sensitive data. The traditional data analytics methods are deviating in the performance due to the unpredictable dynamic challenges emerging in the day-to-day operation. The efficient features of demanding computing strategies are motivated to embed together to discover crucial knowledge through intelligent data analytics.
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