Pilot study: Agent-based exploration of complex data in a hospital environment

Ted Carmichael, Mirsad Hadzikadic, Ognjen Gajic

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

Abstract

We present the results of a pilot study created to explore a sub-set of complex data, utilizing an agent-based model simulation tool. These results center on data taken from hospital admission records, tracking patient attributes and how they relate to patient outcomes. The focus of this work is to highlight three design principles: 1) using an iterative process between the modeling of a system and the grounding of that simulation with real-world data; 2) a focus on agent primitives, emphasizing bottom-up emergence of effects, rather than topdown control; and 3) integration of various "theories" of patient care and hospital effectiveness as a method for experimentation with Complex Adaptive Systembased data mining.

Original languageEnglish (US)
Title of host publicationAgents and Data Mining Interaction - 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Revised Selected Papers
Pages16-26
Number of pages11
DOIs
StatePublished - Oct 29 2010
Event6th International Workshop on Agents and Data Mining Interaction, ADMI 2010 - Toronto, ON, Canada
Duration: May 11 2010May 11 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5980 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Workshop on Agents and Data Mining Interaction, ADMI 2010
CountryCanada
CityToronto, ON
Period5/11/105/11/10

Keywords

  • Agents
  • Complex Adaptive Systems
  • Data Mining
  • Machine Learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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