Abstract
Big data has been a topic of interest for many researchers and industries for the past few decades. Due to the exponential growth of technology, a tremendous amount of data is generated every minute. This article provides a strategic review of big data in the healthcare sector. In particular, this article highlights various applications and issues faced by the healthcare industry using big data by evaluating various journal articles between 2016 and 2021. Multiple issues related to data mining, storing, analyzing, and sharing of big data in healthcare, briefly summarizing deep-learning-based tools available for big data analytics, have been covered in this article. This article aims to benefit the research community by summarizing various research tools and processes available today to manage big data in healthcare.
Keywords: Big data, healthcare management, data mining, big data analytics, secure healthcare system, sensors.
[http://dx.doi.org/10.1007/s10916-019-1398-y] [PMID: 31278468]
[http://dx.doi.org/10.1007/s00500-020-04943-3]
[http://dx.doi.org/10.1016/j.cmpb.2019.105191] [PMID: 31753591]
[http://dx.doi.org/10.26599/BDMA.2020.9020025]
[http://dx.doi.org/10.1109/ACCESS.2020.2974887]
[http://dx.doi.org/10.1109/TII.2018.2870879]
[http://dx.doi.org/10.1016/j.ijmedinf.2021.104454] [PMID: 33866231]
[http://dx.doi.org/10.1109/ICACCE49060.2020.9155042]
[http://dx.doi.org/10.1016/j.bdr.2015.10.001]
[http://dx.doi.org/10.1016/j.ins.2018.02.005]
[http://dx.doi.org/10.1016/j.jnca.2016.03.014]
[http://dx.doi.org/10.1016/j.jpdc.2018.04.006]
[http://dx.doi.org/10.1200/JOP.2014.001308] [PMID: 24633283]
[http://dx.doi.org/10.1016/j.procs.2018.05.169]
[http://dx.doi.org/10.1186/s40537-018-0145-4]
[http://dx.doi.org/10.1109/ACCESS.2018.2890099]
[http://dx.doi.org/10.1109/ACCESS.2020.2975820]
[http://dx.doi.org/10.1016/j.bdr.2021.100225]
[http://dx.doi.org/10.26599/BDMA.2018.9020031]
[http://dx.doi.org/10.1109/ACCESS.2020.3023344]
[http://dx.doi.org/10.1109/ICIIECS.2017.8276028]
[http://dx.doi.org/10.1145/3211872]
[http://dx.doi.org/10.26599/BDMA.2018.9020037]