ALIVE: A multi-relational link prediction environment for the healthcare domain

Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew Rider, Nitesh V. Chawla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An underlying assumption of biomedical informatics is that decisions can be more informed when professionals are assisted by analytical systems. For this purpose, we propose ALIVE, a multi-relational link prediction and visualization environment for the healthcare domain. ALIVE combines novel link prediction methods with a simple user interface and intuitive visualization of data to enhance the decision-making process for healthcare professionals. It also includes a novel link prediction algorithm, MRPF, which outperforms many comparable algorithms on multiple networks in the biomedical domain. ALIVE is one of the first attempts to provide an analytical and visual framework for healthcare analytics, promoting collaboration and sharing of data through ease of use and potential extensibility. We encourage the development of similar tools, which can assist in facilitating successful sharing, collaboration, and a vibrant online community.

Original languageEnglish (US)
Title of host publicationEmerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops
Subtitle of host publicationDMHM, GeoDoc, 3Clust, and DSDM, Revised Selected Papers
Pages36-46
Number of pages11
DOIs
StatePublished - 2013
Externally publishedYes
EventPAKDD 2012 International Workshops: 3rd Data Mining for Healthcare Management, DMHM 2012, Multi-View Data, High-Dimensionality, External Knowledge: Striving for a Unified Approach to Clustering, 3Clust 2012, GeoDoc 2012 and 2nd DSDM 2012 - Kuala Lumpur, Malaysia
Duration: May 29 2012Jun 1 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7769 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePAKDD 2012 International Workshops: 3rd Data Mining for Healthcare Management, DMHM 2012, Multi-View Data, High-Dimensionality, External Knowledge: Striving for a Unified Approach to Clustering, 3Clust 2012, GeoDoc 2012 and 2nd DSDM 2012
CountryMalaysia
CityKuala Lumpur
Period5/29/126/1/12

Keywords

  • healthcare analytics
  • Link Prediction
  • multi-relational networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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