The Use of Big Data Analytics in Medical Images: a Survey

as data grows there is a needs for the technology that has the capacity to deal with this growth. As data grows in all fields on a daily basis, the challenge becomes harder in finding the right technological tools that can handle this expansion. This growth poses new challenges in terms of creating the technology or solutions that can deal with this growth or even the challenges arisen on the organizational level. Many sectors have already adopted big data. However, in the area of healthcare sector, it is still in the early stages of adoption. The problem is not in the data itself but the lack of information that can be gained with the help of technologies like Hadoop to generate this information. Hadoop also helps in generating meaningful real time analysis which can predict emergency situations or help in planning, strategizing, and decision making but its uses in the ECG field is still limited. The data generated by healthcare organizations can also have more and higher value if we can elicit more useful information from it using proper data analytics. By adopting big data analytics, organizations can have the chance to manage and analyze volumes of massive data more efficiently. A comparison of the potential between machine learning and big data was discussed and finally the available literature on the use of big data and deep learning in the ECG filed and its possible applications.