Applying the visualization technique to solve the human color blindness

Ahmed, Basaeir Y.; Majeed, Zainab H.; Najim, Safa A.

doi:10.1063/5.0027395

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…(Lam et al, 2012). This also includes color-blindness considerations, as extensively studied by others (Ahmed et al, 2020;Crameri et al, 2020; The Burggraaff et al, 2021). We see a clear parallel with usercentered eHealth design that emphasizes the need for a holistic understanding of the interrelations between technology, people, and their context (van Gemert-Pijnen et al, 2018).…”

Section: Findings and Future Directionsmentioning

confidence: 94%

The Visual Dictionary of Antimicrobial Stewardship, Infection Control, and Institutional Surveillance Data

et al. 2021

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Objectives: Data and data visualization are integral parts of (clinical) decision-making in general and stewardship (antimicrobial stewardship, infection control, and institutional surveillance) in particular. However, systematic research on the use of data visualization in stewardship is lacking. This study aimed at filling this gap by creating a visual dictionary of stewardship through an assessment of data visualization (i.e., graphical representation of quantitative information) in stewardship research.Methods: A random sample of 150 data visualizations from published research articles on stewardship were assessed (excluding geographical maps and flowcharts). The visualization vocabulary (content) and design space (design elements) were combined to create a visual dictionary. Additionally, visualization errors, chart junk, and quality were assessed to identify problems in current visualizations and to provide improvement recommendations.Results: Despite a heterogeneous use of data visualization, distinct combinations of graphical elements to reflect stewardship data were identified. In general, bar (n = 54; 36.0%) and line charts (n = 42; 28.1%) were preferred visualization types. Visualization problems comprised color scheme mismatches, double y-axis, hidden data points through overlaps, and chart junk. Recommendations were derived that can help to clarify visual communication, improve color use for grouping/stratifying, improve the display of magnitude, and match visualizations to scientific standards.Conclusion: Results of this study can be used to guide data visualization creators in designing visualizations that fit the data and visual habits of the stewardship target audience. Additionally, the results can provide the basis to further expand the visual dictionary of stewardship toward more effective visualizations that improve data insights, knowledge, and clinical decision-making.

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Section: Findings and Future Directionsmentioning

confidence: 94%

The Visual Dictionary of Antimicrobial Stewardship, Infection Control, and Institutional Surveillance Data

et al. 2021

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“…we analyze to get as much information as possible. this phase will build a k*6 color matrix and an n*m color location matrix [7]; vii) apply pca dimension reduction: use pca to decrease the color matrix's dimensions to one layer without losing information; viii) reposition colors: using a color location matrix, each location in the picture is returned to the color matching the result of the previous stage; and ix) display the result.…”

Section: Methodsmentioning

confidence: 99%

“…One of the most to view visualization strategies to view data and illustration is color. Through color, we can display complex data that make it easier for the person to analyze and interpret data [1], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

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CON_PCA method to solve the human monochromacy color blindness

Ahmed

Ali²

2023

Bulletin EEI

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Color blindness is an inherited genetic ocular disorder. Acquired or congenital color blindness can become a major cause of problems in everyday life tasks. Contributing to solving the trouble of color blindness is important. Because the problem of color blindness leads to the non-discrimination of data seen by the infected person. Data visualization can contribute to solving the hassle of color blindness. This paper proposed a new technique using data visualization ideas that may contribute to easy data recognition. Our focus has been on monochromacy color blindness. The results are based on the famous Ishihara data sets measuring color blindness. The efficiency of the results was mathematically proven using equations and images via a website to simulate color blindness.

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“…Data visualization is a powerful and effective tool for quickly interpreting and comprehending data [5].Because most scientific studies generate large amounts of data, processing relies on the analytical side to concentrate on the most relevant parts of the data and extract the most usable information. Thus, data visualization with an acceptable data structure can be combined to obtain a reliable data fusion solution [6], where the relationship between the original data points is incomprehensible, visualization is a straightforward way to understand the high-dimensional space [7].…”

Section: Data Visualizationmentioning

confidence: 99%

A Comparative Study for Skeleton Representation Methods Using Data Visualization

Zalaan,

Najimb

2022

J. Al-Qadisiyah Comp. Sci. Math.

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Data visualization is a technique used to see the unseen information, that will help humanity to discover important things. There are many methods to represent the datasets, but data visualization is the best because it can preserve the information. Skeleton is used to analyse the visualization, thus data visualization gives efficient results. Comparison among well-known methods is the goal of this paper. The conclusion of this paper showed all the comparative results will be important for any further study. This study will use data visualization to discover novel dataset representations, which is the main goal of data visualization and can be useful in presenting necessary data.

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Applying the visualization technique to solve the human color blindness

Cited by 5 publications

References 9 publications

The Visual Dictionary of Antimicrobial Stewardship, Infection Control, and Institutional Surveillance Data

The Visual Dictionary of Antimicrobial Stewardship, Infection Control, and Institutional Surveillance Data

CON_PCA method to solve the human monochromacy color blindness

A Comparative Study for Skeleton Representation Methods Using Data Visualization

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