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This research has been cited in:

Article
Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature ReviewInternet of Things10.1016/j.iot.2021.100427
Conference
Review of the Internet of Things for Healthcare Monitoring2020 8th International Symposium on Digital Forensics and Security (ISDFS)10.1109/ISDFS49300.2020.9116305
Article
Data reduction in fog computing and internet of things: A systematic literature surveyInternet of Things10.1016/j.iot.2022.100629

Use of Internet of Things With Data Prediction on Healthcare Environments: A Survey

Gabriel Souto Fischer, Rodrigo da Rosa Righi, Vinicius Facco Rodrigues, Cristiano André da Costa

Source Title: International Journal of E-Health and Medical Communications (IJEHMC)11(2)

ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781799806905|DOI: 10.4018/IJEHMC.2020040101

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MLA

Fischer, Gabriel Souto, et al. "Use of Internet of Things With Data Prediction on Healthcare Environments: A Survey." IJEHMC vol.11, no.2 2020: pp.1-19. http://doi.org/10.4018/IJEHMC.2020040101

APA

Fischer, G. S., Righi, R. D., Rodrigues, V. F., & André da Costa, C. (2020). Use of Internet of Things With Data Prediction on Healthcare Environments: A Survey. International Journal of E-Health and Medical Communications (IJEHMC), 11(2), 1-19. http://doi.org/10.4018/IJEHMC.2020040101

Chicago

Fischer, Gabriel Souto, et al. "Use of Internet of Things With Data Prediction on Healthcare Environments: A Survey," International Journal of E-Health and Medical Communications (IJEHMC) 11, no.2: 1-19. http://doi.org/10.4018/IJEHMC.2020040101

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Abstract

Internet of Things (IoT) is a constantly growing paradigm that promises to revolutionize healthcare applications and could be associated with several other techniques. Data prediction is another widely used paradigm, where data captured over time is analyzed in order to identify and predict problematic situations that may happen in the future. After research, no surveys that address IoT combined with data prediction in healthcare area exist in the literature. In this context, this work presents a systematic literature review on Internet of Things applied to healthcare area with a focus on data prediction, presenting twenty-three papers about this theme as results, as well as a comparative analysis between them. The main contribution for literature is a taxonomy for IoT systems with data prediction applied to healthcare. Finally, this article presents the possibilities and challenges of exploration in the study area, showing the existing gaps for future approaches.