ALOHA

ALOHA visualizes dietary supplement knowledge as a graph by integrating scientific resources into the iDISK (Integrated Dietary Supplement Knowledge base) to present relationships relevant to supplement safety, efficacy, and scientific evidence.


Key Features:

  • Graph-based visualization: Employs graph-based visualization to represent dietary supplement entities and their interconnections.
  • Data integration with iDISK: Integrates scientific resources into the iDISK (Integrated Dietary Supplement Knowledge base) to consolidate dietary supplement data.
  • Relationship mapping: Represents relationships among supplements, ingredients, and supporting evidence to enable exploration of safety and efficacy.
  • Knowledge consolidation: Organizes heterogeneous scientific information about dietary supplements into a coherent, interconnected knowledge structure.
  • Visualization of complex data relationships: Presents complex associations within the knowledge base to facilitate analysis and interpretation of supplement-related evidence.

Scientific Applications:

  • Consumer education: Provides a graph-based resource for exploring the scientific evidence, safety, and efficacy of dietary supplements.
  • Research tool: Enables researchers to visualize existing knowledge in iDISK, explore relationships among entities, and identify gaps in current research.
  • Health information dissemination: Organizes dispersed scientific information into a coherent structure to support healthcare professionals and educators in communicating accurate supplement information.

Methodology:

Integration of scientific resource data into the iDISK knowledge base and graph-based visualization of relationships among dietary supplement entities and supporting evidence.

Details

Added:
11/14/2019
Last Updated:
12/2/2020

Operations

Publications

He X, Zhang R, Rizvi R, Vasilakes J, Yang X, Guo Y, He Z, Prosperi M, Huo J, Alpert J, Bian J. ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics and Decision Making. 2019;19(S4). doi:10.1186/s12911-019-0857-1. PMID:31391091. PMCID:PMC6686235.