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

Colin Wilcox, Soufiene Djahel, Vasileios Giagos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2021 International Symposium on Networks, Computers and Communications, ISNCC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9780738113166, 9781665403047
ISBN (Print)9781665448291
DOIs
Publication statusPublished - 25 Nov 2021
Externally publishedYes
Event2021 International Symposium on Networks, Computers and Communications - Dubai, United Arab Emirates
Duration: 31 Oct 20212 Nov 2021

Conference

Conference2021 International Symposium on Networks, Computers and Communications
Abbreviated titleISNCC 2021
Country/TerritoryUnited Arab Emirates
CityDubai
Period31/10/212/11/21

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