Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era

Wilcox, Colin, Djahel, Soufiene ORCID: https://orcid.org/0000-0002-1286-7037 and Giagos, Vasileios ORCID: https://orcid.org/0000-0001-6293-646X (2021) Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era. In: The 2021 International Symposium on Networks, Computers and Communications (ISNCC'21), 01 June 2021 - 03 June 2021, Dubai, UAE.

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Official URL: https://ieeexplore.ieee.org/document/9615774

Abstract

Incomplete data due to discrepancies between medical data sources and their storage methods represents a serious concern as it may lead to the loss, or misrepresentation of important medical information. This concern is anticipated to grow in the era of smart healthcare as the volume, variety and speed at which medical data is collected will increase significantly. This paper aims to identify the main causes of data incompleteness in the medical domain, discuss some techniques currently used to build a complete medical picture and highlight how they may affect the consistency and accuracy of the collected data. It also outlines future research directions to efficiently handle data incompleteness and its consequences.

Item Type:	Conference or Workshop Item (Paper)
Published Proceedings:	2021 International Symposium on Networks, Computers and Communications (ISNCC)
Peer-reviewed:	Yes
Date Deposited:	18 Jan 2022 16:00
Publisher:	IEEE
Additional Information:	© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Faculties > Science and Engineering
URI:	https://e-space.mmu.ac.uk/id/eprint/627462
DOI:	https://doi.org/10.1109/ISNCC52172.2021.9615774

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