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A Review on Data Mining and Big Data Analytics for Healthcare Solutions

Hiralkumari B. Chauhan*, Rahul K. Kher **

* Department of Information Technology, Bhailalbhai and Bhikhabhai Institute of Technology, Vallabh Vidyanagar, Gujarat, India.

** Department of Electronics and Communication Engineering, G H Patel College of Engineering and Technology (GCET), Gujarat, India.

Periodicity:January - March'2021
DOI : https://doi.org/10.26634/jse.15.3.18254

Abstract

A personalized health care system model is proposed that provides e-health services in term of prediction, disease diagnosis and prevention strategy. Medical Internet of Things (MIoT) is utilized for generating various smart devices, sensors and mobile application. The collected data from hospitals, clinics, and laboratories will be stored on the cloud with the help of cloud and fog computing. Big data analytics and data mining algorithms can provide real time data analysis, testing and decision making. The required percussions will suggest an emergency service to user, if needed.

Keywords

Big Data Analytics, Data Mining, MIoT, Sensor, Smart Devices, Electrocardiogram (ECG), Electronic Health Records (EHRs).

How to Cite this Article?

Chauhan, H. B., and Kher, R. K. (2021). A Review on Data Mining and Big Data Analytics for Healthcare Solutions. i-manager's Journal on Software Engineering, 15(3), 1-4. https://doi.org/10.26634/jse.15.3.18254

References

[1]. Abidi, S. S. R., & Abidi, S. R. (2019). Intelligent health data analytics: A convergence of artificial intelligence and big data. Healthcare Management Forum, 32(4). https:// doi.org/10.1177/0840470419846134

[2]. Hewner, S., Sullivan, S. S., & Yu, G. (2018). Reducing emergency room visits and in‐hospitalizations by implementing best practice for transitional care using innovative technology and big data. Worldviews on Evidence‐Based Nursing, 15(3), 170-177. https://doi.org/ 10.1111/wvn.12286

[3]. Kher, R., Pawar, T., Thakar, V., & Shah, H. (2015). Physical activities recognition from ambulatory ECG signals using neuro-fuzzy classifiers and support vector machines. Journal of Medical Engineering and Technology, 39(2), 138–152. https://doi.org/10.3109/03091902.2014.998372

[4]. Kumari, S. S., & Rani, K. S. (2018). Big data analytics for healthcare system. SSRN Electronic Journal. https://doi. org/10.2139/ssrn.3168338

[5]. Nanayakkara, S., Zhou, X., & Spallek, H. (2019). Impact of big data on oral health outcomes. Oral Diseases, 25(5), 1245-1252. https://doi.org/10.1111/odi. 13007

[6]. Sanchez-Pinto, L. N., Luo, Y., & Churpek, M. M. (2018). Big data and data science in critical care. Chest, 154(5), 1239-1248. https://doi.org/10.1016/j.chest.2018.04.037

[7]. Schlick, C. J. R., Castle, J. P., & Bentrem, D. J. (2018). Utilizing big data in cancer care. Surgical Oncology Clinics, 27(4), 641-652. https://doi.org/10.1016/j.soc.2018. 05.005

[8]. Song, C. W., Jung, H., & Chung, K. (2019). Development of a medical big-data mining process using topic modeling. Cluster Computing, 22(1), 1949-1958. https://doi.org/10.1007/s10586-017-0942-0

[9]. Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018). An integrated big data analytics-enabled transformation model: Application to health care. Information & Management, 55(1), 64-79. https://doi.org/ 10.1016/j.im.2017.04.001

[10]. Wordsworth, S., Doble, B., Payne, K., Buchanan, J., Marshall, D. A., McCabe, C., & Regier, D. A. (2018). Using “big data” in the cost-effectiveness analysis of nextgeneration sequencing technologies: challenges and potential solutions. Value in Health, 21(9), 1048-1053. https://doi.org/10.1016/j.jval.2018.11.006

[11]. Zhao, Y., Fang, L., Cui, L., & Bai, S. (2020). Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery. BMC Medical Informatics and Decision Making, 20(1), 1-13. https://doi. org/10.1186/s12911-020-01180-4

[12]. Zheng, Y., & Chen, G. (2019). Energy analysis and application of data mining algorithms for internet of things based on Hadoop cloud platform. IEEE Access, 7, 183195–183206. https://doi.org/10.1109/ACCESS.2019.2 958377

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

A Review on Data Mining and Big Data Analytics for Healthcare Solutions

Abstract

Keywords

How to Cite this Article?

References

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