Abstract
One of most technical and potential topics in research is healthcare big data analytics. Healthcare includes variety of data in terms of sensor data, clinical data, omics data, and so on. In healthcare, health records are maintained by physicians, health companies, patients, IT companies, and vendors, and it is very difficult for them to maintain this data manually. One of the biggest challenges faced by the researchers is how to handle this raw data with huge volume, variety, and velocity. A significant solution for this rapidly growing data is machine learning (ML). It contains advanced algorithms and various statistical measures for analyzing the datasets and accurately predicting the results for further processing. This paper intention is to analyze the potentials of big data techniques in healthcare. This analytic approach also helps researchers to focus on current opportunities and challenges in healthcare center. This paper discusses about role of big data analytics in healthcare and its future directions and challenges.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shaik Y, Parvathi VK, Biradar SR (2021) Role of IoT and big data analytics in healthcare for disease prediction. IEEE Xplore. https://doi.org/10.1109/ICCDW45521.2020.9318662
Chauhan R, Yafi E (2021) Big data analytics for Prediction modeling in Healthcare databases. IEEE Xplore https://doi.org/10.1109/IMCOM51814.2021.9377403
Wanga L, Alexanderb CA (2020) Big data analytics in medical engineering and healthcare: methods, advances and challenges. J Med Eng Technol. https://doi.org/10.1080/03091902.2020.1769758
Ravindran NJ, Gopalakrishnan P (2018) Predictive analysis for healthcare sector using big data technology. IEEE J. https://doi.org/10.1109/ICGCIoT.2018.8753090, ISBN:978-1-5386-5658-7
Onyemachi NC, Nonyelum OF (2020) Big data analytics in healthcare: a review. IEEE Xplore. https://doi.org/10.1109/ICECCO48375.2019.9043183
Galetsia P, Katsaliakia K, Kumarb S (2019) Values, challenges and future directions of big data analytics in healthcare: a systematic review. SCI J 241 https://doi.org/10.1016/j.socscimed.2019.112533
Ambigavathi M, Sridharan D (2018) Big data analytics in health care. IEEE Proceedings. https://doi.org/10.1109/ICoAC44903.2018.8939061
Sousa MJ, Pesqueira AM, Lemos C, Sousa M, Rocha Á (2019) Decision-Making based on big data analytics for people management in healthcare organizations. 9 https://doi.org/10.1007/s10916-019-1419-x. Springer
Islam MS, Hasan MM, Wang X, Germack HD, Alam MNE (2018) A systematic review on healthcare analytics: application and theoretical perspective of data mining. MPDI Health Care J. https://doi.org/10.3390/healthcare6020054
Sahoo PK, Mohapatra SK (2016) Analyzing healthcare big data with prediction for future health condition. IEEE Access 4 https://doi.org/10.1109/ACCESS.2016.2647619
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Akram, S.W., Varalakshmi, M., Sultana, M.S., Sowjanya, M.S.N.D. (2023). A Survey on Challenges and Opportunities of Big Data Healthcare Analytics. In: Szymanski, J.R., Chanda, C.K., Mondal, P.K., Khan, K.A. (eds) Energy Systems, Drives and Automations. ESDA 2021. Lecture Notes in Electrical Engineering, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-99-3691-5_49
Download citation
DOI: https://doi.org/10.1007/978-981-99-3691-5_49
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-3690-8
Online ISBN: 978-981-99-3691-5
eBook Packages: EnergyEnergy (R0)