Abstract
In the current day’s healthcare system, the adaptation of digitization of medical data, such as data related to patients’ diagnosis, generates a big volume of data in a short period of time. To analyze this huge volume of medical data, we need techniques that have the power of statistical analysis to predict or extract hidden important information out of the data. Therefore, the need for big data analytics in healthcare imaging has increased more rapidly. In this chapter, an analytical study on big data analytics in healthcare is carried out. This study includes all possible terminology related to the idea of big data, healthcare data, and architectural context for big data analytics, with different tools and platforms discussed in detail. A review of some recent noteworthy contributions in the field is also presented. Lastly, it summarizes different challenges to improve big data applications in healthcare and move it to an advanced level.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
