- Title
- Missing health data pattern matching technique for continuous remote patient monitoring
- Creator
- Arora, Teena; Balasubramanian, Venki; Stranieri, Andrew
- Date
- 2023
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/196752
- Identifier
- vital:18746
- Identifier
-
https://doi.org/10.1007/978-3-031-43950-6_11
- Identifier
- ISBN:0302-9743 (ISSN); 9783031439490 (ISBN)
- Abstract
- Remote patient monitoring (RPM) has been gaining popularity recently. However, health data acquisition is a significant challenge associated with patient monitoring. In continuous RPM, health data acquisition may miss health data during transmission. Missing data compromises the quality and reliability of patient risk assessment. Several studies suggested techniques for analyzing missing data; however, many are unsuitable for RPM. These techniques neglect the variability of missing data and provide biased results with imputation. Therefore, a holistic approach must consider the correlation and variability of the various vitals and avoid biased imputation. This paper proposes a coherent computation pattern-matching technique to identify and predict missing data patterns. The performance of the proposed approach is evaluated using data collected from a field trial. Results show that the technique can effectively identify and predict missing patterns. © 2023, The Author(s).
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Relation
- 20th International Conference on Smart Living and Public Health, ICOST 2023, Wonju, Korea, 7-8 July 2023, Digital Health Transformation, Smart Ageing, and Managing Disability, 20th International Conference, ICOST 2023, Wonju, South Korea, July 7–8, 2023, Proceedings Vol. 14237 LNCS, p. 130-143
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2023, The Author(s)
- Rights
- Open Access
- Subject
- IoMT; Missing health data; Pattern-matching technique; Remote patient monitoring; Smart healthcare
- Full Text
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