Boddy, A, Hurst, W, MacKay, M, El Rhalibi, A, Baker, T and Curbelo Montañez, CA (2019) An Investigation into Healthcare-Data Patterns. Future Internet, 11 (2). ISSN 1999-5903

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Abstract

Visualising complex data facilitates a more comprehensive stage for conveying knowledge. Within the medical data domain, there is an increasing requirement for valuable and accurate information. Patients need to be confident that their data is being stored safely and securely. As such, it is now becoming necessary to visualise data patterns and trends in real-time to identify erratic and anomalous network access behaviours. In this paper, an investigation into modelling data flow within healthcare infrastructures is presented; where a dataset from a Liverpool-based (UK) hospital is employed for the case study. Specifically, a visualisation of transmission control protocol (TCP) socket connections is put forward, as an investigation into the data complexity and user interaction events within healthcare networks. In addition, a filtering algorithm is proposed for noise reduction in the TCP dataset. Positive results from using this algorithm are apparent on visual inspection, where noise is reduced by up to 89.84%.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science & Mathematics
Publisher:	MDPI AG
Date Deposited:	25 Jan 2019 11:41
Last Modified:	03 Sep 2021 23:41
URI:	https://researchonline.ljmu.ac.uk/id/eprint/10023

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