A predictive analytics toolbox for medical applications

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

Research output: Contribution to journalConference articlepeer-review


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)
Pages (from-to)180-187
Number of pages8
JournalSimulation Series
Issue number10
StatePublished - 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


  • Decision Support
  • Healthcare
  • Management
  • Visualization

ASJC Scopus subject areas

  • Computer Networks and Communications


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