Data fusion applications in toxicology

Dumancas, Gerard G.; Krichbaum, Mary; Solivio, Beulah; Lubguban, Arnold A.; Malaluan, Roberto M.

doi:10.1016/b978-0-12-824315-2.00558-3

Cited by 2 publications

(2 citation statements)

References 39 publications

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“…Dumancas et al [9] introduce the concept of data fusion and its application in predictive toxicology and chemical risk assessments. It emphasizes the importance of integrating toxicological datasets and endpoints from different sources to estimate chemical risk.…”

Section: Related Workmentioning

confidence: 99%

Driving Performance Improvement of an Organization through Data Object Fusion

Alhazmi

2023

IJRTE

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To succeed in today's data-driven economy, organizations must find ways to put their massive data stores to work competitively. This research delves into the possibility of using data object fusion techniques and, more significantly, consensus clustering to boost the efficiency of businesses in an area of expertise. A case investigation of the automotive service sector demonstrates potential results and puts theoretical knowledge into practice within an organization. Therefore, this study addresses the prospective benefits of data object fusion in the automotive service sector. Furthermore, by combining the findings of different clustering methods, consensus clustering can provide a more precise and reliable outcome. Moreover, a consistent representation of the data objects is obtained by applying this technique to disparate datasets acquired from different sources inside the organization, which improves decision-making and productivity in operations. The research highlights the significance of data quality and the selection of proper clustering techniques to achieve dependable and accurate data object fusion. The findings add to the expanding knowledge of using data-driven ways to enhance organizational performance in any emerging sector.

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Section: Related Workmentioning

confidence: 99%

Driving Performance Improvement of an Organization through Data Object Fusion

Alhazmi

2023

IJRTE

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“…In the 90's, during the beginning of the computer era, spreadsheets were widely used. [6][7][8][9][10][11][12][13][14][15] However, spreadsheets were not adequate for statistical calculations and chemometrics and programming software without a graphical user interface (GUI) such as MATLAB, 16 Python, 17-21 R project, 22 had been used.…”

Section: Introductionmentioning

confidence: 99%

Teaching statistics and chemometrics using an open source, free and graphical user interface software.

de Souza Junior,

Borges

2024

Preprint

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This report aims to introduce the fundamental features of the JAMOVI software to academics in the chemistry field for use in undergraduate and graduate-level research. It is freeware with a graphical user interface (GUI) and it is written in the R language. The discussion began on descriptive statistics ( mean, median, range, skewness how to check data normality using hypothesis tests (Shapiro-Wilk, Kolmogorov-Smirnov and Anderson-Darling tests). Then, some visual tools for checking data normality were presented (histograms, Q-Q plots, and boxplots). When the data normality was checked, two and more dependent means were compared using parametric tests (t test and ANOVA; Fisher’s). When the data was not normally distributed, nonparametric tests were used (Mann-Whitney and Kruskal-Wallis tests). When the data was paired and normally distributed, two and more than two group means were compared using the paired t-test and RMANOVA, respectively. Their nonparametric versions were also used (Wilcoxon and Friedman tests). Means comparisons were also carried out using boxplots and discriminant plots, which provide a visual interpretation beyond the p-values interpretation. In addition, principal component analysis (PCA) was carried out using JAMOVI's plugin MEDA, which builds scores and loading plots. All tests and plots were done easily using JAMOVI's click-and-go interface.

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Data fusion applications in toxicology

Cited by 2 publications

References 39 publications

Driving Performance Improvement of an Organization through Data Object Fusion

Driving Performance Improvement of an Organization through Data Object Fusion

Teaching statistics and chemometrics using an open source, free and graphical user interface software.

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