A predictive analytics toolbox for medical applications

Michael L. Valenzuela, Jerzy W Rozenblit, Allan J Hamilton

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

Abstract

Ever more frequently business enterprises are benefiting from the collection and analysis of large data. This paper reports on a work in progress of adapting intelligence, predictive analytics tools for analysis of medical data. While large data has been used in medical research, only recently has this become a trend for hospital management. A suite of tools originally developed for military intelligence analysts are repurposed for hospital management. The original design concepts is reviewed, its medical applications and challenges are described along with an illustrative example.

Original languageEnglish (US)
Title of host publicationSimulation Series
PublisherThe Society for Modeling and Simulation International
Pages180-187
Number of pages8
Volume46
Edition10
Publication statusPublished - 2014
EventSummer Computer Simulation Conference, SCSC 2014, Part of the 2014 Summer Simulation Multiconference, SummerSim 2014 - Monterey, United States
Duration: Jul 6 2014Jul 10 2014

Other

OtherSummer Computer Simulation Conference, SCSC 2014, Part of the 2014 Summer Simulation Multiconference, SummerSim 2014
CountryUnited States
CityMonterey
Period7/6/147/10/14

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Keywords

  • Decision Support
  • Healthcare
  • Management
  • Visualization

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Valenzuela, M. L., Rozenblit, J. W., & Hamilton, A. J. (2014). A predictive analytics toolbox for medical applications. In Simulation Series (10 ed., Vol. 46, pp. 180-187). The Society for Modeling and Simulation International.