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1. Task-Data Taxonomy for Health Data Visualizations: Web-Based Survey With Experts and Older Adults (PubMed)

Task-Data Taxonomy for Health Data Visualizations: Web-Based Survey With Experts and Older Adults Increasingly, eHealth involves health data visualizations to enable users to better understand their health situation. Selecting efficient and ergonomic visualizations requires knowledge about the task that the user wants to carry out and the type of data to be displayed. Taxonomies of abstract tasks and data types bundle this knowledge in a general manner. Task-data taxonomies exist (...) for visualization tasks and data. They also exist for eHealth tasks. However, there is currently no joint task taxonomy available for health data visualizations incorporating the perspective of the prospective users. One of the most prominent prospective user groups of eHealth are older adults, but their perspective is rarely considered when constructing tasks lists.The aim of this study was to construct a task-data taxonomy for health data visualizations based on the opinion of older adults as prospective

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2018 JMIR medical informatics

2. Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization. (PubMed)

Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization. An essential step in the analysis of agent-based simulation is sensitivity analysis, which namely examines the dependency of parameter values on simulation results. Although a number of approaches have been proposed for sensitivity analysis, they still have limitations in exhaustivity and interpretability. In this study, we propose a novel methodology for sensitivity (...) analysis of agent-based simulation, MASSIVE (Massively parallel Agent-based Simulations and Subsequent Interactive Visualization-based Exploration). MASSIVE takes a unique paradigm, which is completely different from those of sensitivity analysis methods developed so far, By combining massively parallel computation and interactive data visualization, MASSIVE enables us to inspect a broad parameter space intuitively. We demonstrated the utility of MASSIVE by its application to cancer evolution

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2019 PLoS ONE

3. phylotree.js - a JavaScript library for application development and interactive data visualization in phylogenetics (PubMed)

phylotree.js - a JavaScript library for application development and interactive data visualization in phylogenetics While several JavaScript packages for visualizing phylogenetic trees exist, most are best characterized as frameworks that are designed with a specific set of tasks in mind. Extending such packages to use cases that are not available as features often ends up being difficult. Moreover, existing packages tend to produce standalone widgets that are not designed to serve (...) as middleware, as opposed to flexible tools that can integrate with other components of an application.phylotree.js is a library that extends the popular data visualization framework d3.js, and is suitable for building JavaScript applications where users can view and interact with phylogenetic trees. The effects of such interactions can be captured and communicated to other package components, making it possible to engineer complex and responsive applications that include phylogenetic trees. phylotree.js

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2018 BMC bioinformatics

4. Interactive data visualization based on conventional statistical findings for antihypertensive prescriptions using National Health Insurance claims data. (PubMed)

Interactive data visualization based on conventional statistical findings for antihypertensive prescriptions using National Health Insurance claims data. Interactive visualization is an important approach to help to understand and to explain large amounts of data, particularly in light of decision support. Although data visualization have been introduced in healthcare and clinical fields, analytics has often been performed by data experts, focused on specific subjects, or insufficient (...) statistical evidence. Therefore, this study suggests the procedures of effective and efficient visualization of big data for general healthcare researchers. Specifically, the procedure includes conventional regression analyses followed by interactive data visualization for prescription patterns of antihypertensive drugs.As a large-scale nationally representative prescription data, the Korean National Health Insurance claims data were collected. Conventional descriptive and regression analyses were

2018 International journal of medical informatics

5. Enhanced JBrowse plugins for epigenomics data visualization (PubMed)

Enhanced JBrowse plugins for epigenomics data visualization New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications.We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifically, we have focused on visualizing DNA base modifications, small non-coding RNAs, stranded read coverage, and sequence motif density

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2018 BMC bioinformatics

6. Data Visualization of Home Care Admission Nurses’ Decision-Making (PubMed)

Data Visualization of Home Care Admission Nurses’ Decision-Making The hospital to home care admission process is when nurses make important decisions about the post-transition episode, including medication reconciliation, plan of care, future visit patterns, and the inclusion of other disciplines. It is not clear how nurses get and use information to support decision-making. We conducted a focus group case study with six admitting home health nurses at a rural agency in Pennsylvania. We

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2018 AMIA Annual Symposium Proceedings

7. Sculpting the future of medical data visualization (PubMed)

Sculpting the future of medical data visualization 29850434 2018 05 31 2223-3652 8 Suppl 1 2018 Apr Cardiovascular diagnosis and therapy Cardiovasc Diagn Ther Sculpting the future of medical data visualization. S212-S216 10.21037/cdt.2017.09.10 Harris Justus J Independent Artist and Technologist, Chicago, USA. eng Journal Article China (Republic : 1949- ) Cardiovasc Diagn Ther 101601613 2223-3652 Conflicts of Interest: The author has no conflicts of interest to declare. 2018 6 1 6 0 2018 6 1 6

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2018 Cardiovascular diagnosis and therapy

8. Data Visualization of Kidney and Prostate Tumors Using Routine Pre-Operative Imaging, 3D Printed, and 3D Virtual Reality Models

Data Visualization of Kidney and Prostate Tumors Using Routine Pre-Operative Imaging, 3D Printed, and 3D Virtual Reality Models Data Visualization of Kidney and Prostate Tumors Using Routine Pre-Operative Imaging, 3D Printed, and 3D Virtual Reality Models - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached (...) the maximum number of saved studies (100). Please remove one or more studies before adding more. Data Visualization of Kidney and Prostate Tumors Using Routine Pre-Operative Imaging, 3D Printed, and 3D Virtual Reality Models The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. of clinical studies and talk to your health care provider before participating. Read our

2018 Clinical Trials

9. Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding (PubMed)

Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding Multidimensional single-cell analysis requires approaches to visualize complex data in intuitive 2D graphs. In this regard, t-distributed stochastic neighboring embedding (tSNE) is the most popular algorithm for single-cell RNA sequencing and cytometry by time-of-flight (CyTOF), but its application (...) during panel development dramatically improved data visualization. These aspects must be taken into consideration when using computational approaches as discovery tools in large sets of samples from independent experiments or immunomonitoring in clinical trials.© 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.

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2018 Cytometry

10. Instant Clue: A Software Suite for Interactive Data Visualization and Analysis (PubMed)

Instant Clue: A Software Suite for Interactive Data Visualization and Analysis The development of modern high-throughput instrumentation and improved core facility infrastructures leads to an accumulation of large amounts of scientific data. However, for a majority of scientists the comprehensive analysis and visualization of their data goes beyond their expertise. To reduce this hurdle, we developed a software suite called Instant Clue that helps scientists to visually analyze data and to gain

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2018 Scientific reports

11. Editorial: Novel Approaches in Microbiome Analyses and Data Visualization (PubMed)

Editorial: Novel Approaches in Microbiome Analyses and Data Visualization 30356851 2018 10 25 1664-302X 9 2018 Frontiers in microbiology Front Microbiol Editorial: Novel Approaches in Microbiome Analyses and Data Visualization. 2274 10.3389/fmicb.2018.02274 Galloway-Peña Jessica J Department of Genomic Medicine, MD Anderson Cancer Center, Houston, TX, United States. Department of Infectious Diseases, Infection Control, and Employee Health, MD Anderson Cancer Center, Houston, TX, United States (...) . Guindani Michele M Department of Statistics, University of California, Irvine, Irvine, CA, United States. eng Editorial 2018 09 27 Switzerland Front Microbiol 101548977 1664-302X bioinformatics data visualization longitudinal data analysis metagenomics microbiome statistics 2018 08 02 2018 09 06 2018 10 26 6 0 2018 10 26 6 0 2018 10 26 6 1 epublish 30356851 10.3389/fmicb.2018.02274 PMC6190871

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2018 Frontiers in microbiology

12. The “Data Visualization Clinic”: a library-led critique workshop for data visualization (PubMed)

The “Data Visualization Clinic”: a library-led critique workshop for data visualization The authors' main university library and affiliated academic medical center library sought to increase library programming around data visualization, a new service area for both libraries. Additionally, our institution is home to many researchers with a strong interest in data visualization but who are generally working in isolation of one another.This case study describes an innovative workshop (...) , the "Data Visualization Clinic," where members of our library's community bring in data visualization projects such as figures in papers, projects hosted online, and handouts and receive constructive feedback from a group of peers. The authors detail the process of hosting a clinic and the feedback that we received from participants.The "Data Visualization Clinic" offers a viable workshop to leverage expertise of library users and build the library's reputation as a hub of data visualization services

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2018 Journal of the Medical Library Association : JMLA

13. Patterns of Racial/Ethnic Disparities and Prevalence in HIV and Syphilis Diagnoses Among Men Who Have Sex With Men, 2016: A Novel Data Visualization. (PubMed)

Patterns of Racial/Ethnic Disparities and Prevalence in HIV and Syphilis Diagnoses Among Men Who Have Sex With Men, 2016: A Novel Data Visualization. To describe disparities in HIV infection and syphilis among gay, bisexual, and other men who have sex with men (MSM) in US states through ratio-based measures and graphical depictions of disparities.We used state-level surveillance data of reported HIV and syphilis cases in 2015 and 2016, and estimates of MSM population sizes to estimate HIV

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2018 American Journal of Public Health

14. Making quality registers supporting improvements: a systematic review of the data visualization in 5 quality registries. (PubMed)

Making quality registers supporting improvements: a systematic review of the data visualization in 5 quality registries. Traditionally, quality registries have been initiated, developed, and used by physicians essentially for research purposes. There is an unrealized opportunity to expand and strengthen the contribution of quality registries in health care quality improvement. This article aims to characterize quality registry annual reports regarding factors deemed important to process

2017 Quality Management in Health Care

15. Novel Interactive Data Visualization: Exploration of the ESCAPE Trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) Data. (PubMed)

Novel Interactive Data Visualization: Exploration of the ESCAPE Trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) Data. The ESCAPE (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) randomized clinical trial collected a large diverse data set. However, it is difficult to fully understand the effects of the study

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2017 Stroke

16. Virtual reality assisted microscopy data visualization and colocalization analysis (PubMed)

Virtual reality assisted microscopy data visualization and colocalization analysis Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis and research. Usually, this three-dimensional data is rendered as a projection onto a two-dimensional display. We describe a system for rendering such data using a modern virtual reality (VR) headset. Sample manipulation is possible by fully-immersive hand-tracking and also by means of a conventional gamepad

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2017 BMC bioinformatics

17. Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes (PubMed)

Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes A novel software application, Blip, was created to combine and display diabetes data from multiple devices in a uniform, user-friendly manner. The objective of this study was to test the usability of this application by adults and caregivers of children with type 1 diabetes (T1D).Patients (n = 35) and caregivers of children with T1D (n = 30) using an insulin pump for >1 year ± CGM were given access to the software (...) prompted iterative, rapid development of data visualization software and improvements in the uploading process and user interface, which facilitates clinical integration and future clinical studies.

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2017 Journal of diabetes science and technology

18. MAGenTA: a Galaxy implemented tool for complete Tn-Seq analysis and data visualization (PubMed)

MAGenTA: a Galaxy implemented tool for complete Tn-Seq analysis and data visualization Transposon insertion sequencing (Tn-Seq) is a microbial systems-level tool, that can determine on a genome-wide scale and in high-throughput, whether a gene, or a specific genomic region, is important for fitness under a specific experimental condition.Here, we present MAGenTA, a suite of analysis tools which accurately calculate the growth rate for each disrupted gene in the genome to enable the discovery

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2017 Bioinformatics

19. Triangulating Methodologies from Software, Medicine and Human Factors Industries to Measure Usability and Clinical Efficacy of Medication Data Visualization in an Electronic Health Record System (PubMed)

Triangulating Methodologies from Software, Medicine and Human Factors Industries to Measure Usability and Clinical Efficacy of Medication Data Visualization in an Electronic Health Record System Within the last decade, use of Electronic Health Record (EHR) systems has become intimately integrated into healthcare practice in the United States. However, large gaps remain in the study of clinical usability and require rigorous and innovative approaches for testing usability principles

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2017 AMIA Summits on Translational Science Proceedings

20. Data visualization, bar naked: A free tool for creating interactive graphics (PubMed)

Data visualization, bar naked: A free tool for creating interactive graphics Although bar graphs are designed for categorical data, they are routinely used to present continuous data in studies that have small sample sizes. This presentation is problematic, as many data distributions can lead to the same bar graph, and the actual data may suggest different conclusions from the summary statistics. To address this problem, many journals have implemented new policies that require authors to show

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2017 The Journal of biological chemistry

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