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Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms ; : 269-288, 2022.
Article in English | Scopus | ID: covidwho-2273499

ABSTRACT

Big data in healthcare is a fast advancing area. With new diseases being continuously discovered, for instance, the COVID19 pandemic, there is a tremendous surge in data generation and a huge burden falls on the medical personnel where automation and emerging technologies can contribute significantly. Combining big data with the emerging technologies in healthcare is the need of the hour. In this chapter, first, we focus on the collection of big data in healthcare using emerging technologies like Radio Frequency Identification (RFID), Wireless Sensor Networks (WSN), and Internet of Things (IoT) along with its applications in medical field. We then explore the issues and challenges faced during data collection. Next, we bring out the different data analysis approaches. Then, the challenges and issues during data analysis are explored. Finally, the current research trends going on in the field are summarized. © 2022 Scrivener Publishing LLC.

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