Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ogive Graph01:07

Ogive Graph

6.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.6K
Graphing Antiderivatives01:30

Graphing Antiderivatives

43
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
43
Bar Graph01:07

Bar Graph

21.4K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
21.4K
Time-Series Graph00:54

Time-Series Graph

5.0K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.0K
Multiple Bar Graph01:07

Multiple Bar Graph

8.9K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.9K
First Derivatives and the Shape of a Graph01:22

First Derivatives and the Shape of a Graph

52
In calculus, the concept of the first derivative plays a crucial role in understanding the behavior of a function over its domain. The first derivative, denoted as f’(x), provides insight into how a function changes at any given point, much like a cyclist adjusting speed along a winding trail. By analyzing the first derivative, mathematicians can determine where a function is increasing, decreasing, or reaching critical points.The first derivative provides a precise method for classifying...
52

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Tuning Room-Temperature Injectability of Gelatin-Based Hydrogels via Introduction of Competitive Hydrogen Bonds.

ACS macro letters·2025
Same author

Glucagon-Like Peptide-1 Receptor Agonists and Risk for Depression in Older Adults With Type 2 Diabetes : A Target Trial Emulation Study.

Annals of internal medicine·2025
Same author

Trends and Disparities in Newer GLP1 Receptor Agonist Initiation among Real-World Adult Patients Eligible for Obesity Treatment.

medRxiv : the preprint server for health sciences·2025
Same author

Impact of Pre-Existing Frailty on Cardiotoxicity Among Breast Cancer Patients Receiving Adjuvant Therapy.

JACC. CardioOncology·2025
Same author

From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare.

Journal of biomedical informatics·2025
Same author

Spectral imaging characteristics of a multilevel diffractive lens by low-cost nanofabrication.

Optics express·2025
Same journal

Classification of periapical radiographic findings for root canal therapy decision support using deep neural networks.

BMC medical informatics and decision making·2026
Same journal

Machine learning-based risk assessment of neonatal perinatal adverse outcomes of anemia during pregnancy: a modeling study.

BMC medical informatics and decision making·2026
Same journal

Intelligent differentiation between Parkinson's disease and essential tremor using wearable sensors and machine learning: a temporal validation study.

BMC medical informatics and decision making·2026
Same journal

Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data.

BMC medical informatics and decision making·2026
Same journal

Trajectory analysis of sleep disorders and anxiety-depression in female breast cancer patients undergoing chemotherapy: based on group-based Multi-Trajectory Model and machine learning.

BMC medical informatics and decision making·2026
Same journal

Multitask learning of longitudinal circulating biomarkers and clinical outcomes: identification of optimal machine-learning and deep-learning models.

BMC medical informatics and decision making·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through

Xing He1, Rui Zhang2, Rubina Rizvi2

  • 1Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.

BMC Medical Informatics and Decision Making
|August 9, 2019
PubMed
Summary
This summary is machine-generated.

Consumers can now better access reliable dietary supplement (DS) information through the improved ALOHA web application. This tool uses interactive graph visualization to present complex DS data clearly, enhancing user understanding and trust.

Keywords:
Dietary supplementKnowledge baseKnowledge graphOnline health informationUsabilityUser-centered design

More Related Videos

Dietary Supplementation of Polyunsaturated Fatty Acids in Caenorhabditis elegans
09:38

Dietary Supplementation of Polyunsaturated Fatty Acids in Caenorhabditis elegans

Published on: November 29, 2013

17.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.4K

Related Experiment Videos

Last Updated: Jan 21, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Dietary Supplementation of Polyunsaturated Fatty Acids in Caenorhabditis elegans
09:38

Dietary Supplementation of Polyunsaturated Fatty Acids in Caenorhabditis elegans

Published on: November 29, 2013

17.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.4K

Area of Science:

  • Health Informatics
  • Human-Computer Interaction
  • Dietary Supplement Research

Background:

  • Consumers often lack knowledge regarding the safety and efficacy of widely used dietary supplements (DSs).
  • Online health information, particularly for DSs, is fragmented and varies significantly in quality.
  • Previous work introduced ALOHA, a web application with interactive graph visualization for browsing the integrated DIetary Supplement Knowledge base (iDISK).

Purpose of the Study:

  • To enhance the ALOHA platform's functionalities and usability through iterative user-centered design (UCD).
  • To improve the accessibility and clarity of online dietary supplement information for the general public.
  • To evaluate the effectiveness of graph-based visualization for presenting complex health data.

Main Methods:

  • Conducted two design iterations of the ALOHA web application based on UCD principles.
  • Performed usability assessments with focus groups using the System Usability Scale (SUS) and thematic analysis.
  • Utilized heuristic evaluation mapped to cognitive engineering principles to identify and address usability issues.

Main Results:

  • Initial decrease in SUS score (52.2) after introducing new features, followed by an increase (64.4) after refining the user interface.
  • Participants confirmed the urgent need for such a tool to address information gaps in online DS consumption.
  • Graph-based visualization was recognized as a creative and visually appealing method for accessing health information.

Conclusions:

  • The ALOHA platform was successfully improved through iterative UCD, offering a novel way to access DS information.
  • Lessons learned can guide future enhancements of ALOHA and similar knowledge graph-based applications.
  • Interactive graph visualization is a viable and accepted approach for users seeking online health information.