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From ancient times to modern : realizing the power of data visualization in healthcare and medicine Elgendi, Mohamed; Howard, Newton; Hussain, Amir; Menon, Carlo; Ward, Rabab Kreidieh

Abstract

Abstract Data visuals (scientific images) display and express various amounts and types of information, and, as the saying goes,“an image is worth 1,000 words.” Based on a review of two studies, a new estimation of how many words an image is actually worth was calculated in an attempt to quantify the complicated biological process of image perception. The result revealed that an image is actually worth more than 30,000 words. This new value estimation provides insight into the power of images. Given that figures, graphs, and data visualizations are types of images commonly used in research and publications, every produced figure is important and must be carefully considered during the publication process.

Item Metadata

Title
From ancient times to modern : realizing the power of data visualization in healthcare and medicine
Creator
Elgendi, Mohamed; Howard, Newton; Hussain, Amir; Menon, Carlo; Ward, Rabab Kreidieh
Publisher
BioMed Central
Date Issued
2020-07-22
Description
Abstract Data visuals (scientific images) display and express various amounts and types of information, and, as the saying goes,“an image is worth 1,000 words.” Based on a review of two studies, a new estimation of how many words an image is actually worth was calculated in an attempt to quantify the complicated biological process of image perception. The result revealed that an image is actually worth more than 30,000 words. This new value estimation provides insight into the power of images. Given that figures, graphs, and data visualizations are types of images commonly used in research and publications, every produced figure is important and must be carefully considered during the publication process.
Subject
Visual communication; Information graphics; Descriptive figures; Visual perception; Knowledge translation
Genre
Article
Type
Text
Language
eng
Date Available
2020-07-23
Provider
Vancouver : University of British Columbia Library
Rights
Attribution 4.0 International (CC BY 4.0)
DOI
10.14288/1.0392507
URI
http://hdl.handle.net/2429/75255
Affiliation
Applied Science, Faculty of; Medicine, Faculty of; Non UBC; Electrical and Computer Engineering, Department of
Citation
Big Data Analytics. 2020 Jul 22;5(1):4
Publisher DOI
10.1186/s41044-020-00047-z
Peer Review Status
Reviewed
Scholarly Level
Faculty
Copyright Holder
The Author(s)
Rights URI
http://creativecommons.org/licenses/by/4.0/
Aggregated Source Repository
DSpace

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Rights

Attribution 4.0 International (CC BY 4.0)