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The reference model uses object oriented population generation

Published: 26 July 2015 Publication History

Abstract

The Reference Model for disease progression is a league of models attempting to explain published study data. The model cross references simulation results with observed clinical results for multiple population cohorts. The model has grown to contain 47 different cohorts from 9 diabetic populations. Each population contains -40 rules and ~45 objectives. Since there are many repetitions and replications in the code, it becomes hard to maintain and expand further. To support future expansion, code reusability is needed. This is accomplished by an object oriented approach that allows inheriting population generation building blocks. The presentation will discuss the reorganization of population generation using the MIcro Simulation Tool - MIST. Examples demonstrating the benefit from the transformation towards the object oriented approach are presented. Results demonstrate model stability after code transformation.

References

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Cited By

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  • (2017)The reference model models clinicaltrials.govProceedings of the Summer Simulation Multi-Conference10.5555/3140065.3140087(1-12)Online publication date: 9-Jul-2017
  • (2017)The reference model estimates medical practice improvement in diabetic populationsProceedings of the Symposium on Modeling and Simulation in Medicine10.5555/3108760.3108762(1-12)Online publication date: 23-Apr-2017

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cover image ACM Conferences
SummerSim '15: Proceedings of the Conference on Summer Computer Simulation
July 2015
549 pages
ISBN:9781510810594

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Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 26 July 2015

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Author Tags

  1. disease modeling
  2. high performance computing
  3. object oriented
  4. population modeling

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View all
  • (2017)The reference model models clinicaltrials.govProceedings of the Summer Simulation Multi-Conference10.5555/3140065.3140087(1-12)Online publication date: 9-Jul-2017
  • (2017)The reference model estimates medical practice improvement in diabetic populationsProceedings of the Symposium on Modeling and Simulation in Medicine10.5555/3108760.3108762(1-12)Online publication date: 23-Apr-2017

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