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Audrey Durand edited this page Sep 23, 2015 · 3 revisions

SCHNAPS

Open source simulator:

  • multiagent
  • based on populations
  • time-driven
  • extensible
  • command line and XML configurable.

Plugins

Operators

Mathematical, logical, and relational operators as primitives for function tree description.

Control

Control flow operators such as switch cases, conditions and process call/push.

Data

Reference (get) and explicit modificators (set) to parameters, variables and other simulation data.

Meds

Medical primitives used for these simulations:

  • osteoporosis
  • Down's syndrome
  • diabetic retinopathy
  • random screening.

Learning

This plugin enables using the simulator for Monte Carlo reinforcement learning.

Applications

Several medical decision applications have been used to validate the simulator and its plugins.

The simulation system, the basic plugins (Operators, Control and Data) and the medical plugin Meds have been validated using several medical decision applications. The simulation models have been designed in collaboration with health care specialists. The output results have also been validated by health care professionals based on the literature. The simulation parameters describing these applications can be found here.

The Learning plugin has been validated using real medical applications and synthetic application. The simulation parameters describing these applications can be found here.

How to cite SCHNAPS

Authors of scientific papers based on results using SCHNAPS are encouraged to cite the following paper.

@article{Durand2012,
title={Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis},
author={Durand, Audrey and Gagn\'e, Christian and Nshimyumukiza, L\'eon and Gagnon, Mathieu and Rousseau, Fran\c{c}ois and Gigu\`ere, Yves and Reinharz, Daniel},
journal={IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans},
volume={42},
number={6},
pages={1396--1409},
year={2012}
}

Publications on SCHNAPS

  • Audrey Durand, Christian Gagné, Léon Nshimyumukiza, Mathieu Gagnon, François Rousseau, Yves Giguère and Daniel Reinharz, "Population-based simulation for public health: Generic software infrastructure and its application to osteoporosis", IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 42, no. 6, pp. 1396-1409, 2012.
  • Audrey Durand, Christian Gagné, Marc-André Gardner, François Rousseau, Yves Giguère, and Daniel Reinharz, "SCHNAPS: a generic population-based simulator for public health purposes," in Proceedings of Summer Computer Simulation Conference, 2010, pp. 182–187.

Projects using SCHNAPS

  • Léon Nshimyumukiza, Antoine Bois, Patrick Daigneault, Larry C. Lands, Anne-Marie Laberge, Diane Fournier, Julie Duplantie, Yves Giguère, Jean Gekas, Christian Gagné, François Rousseau, Daniel Reinharz, "Cost effectiveness of newborn screening for cystic fibrosis: A simulation study", Journal of Cystic Fibrosis, In Press, 8 pages, 2013.

  • Julie Duplantie, Odilon Martinez Gonzales, Antoine Bois, Léon Nshimyumukiza, Jean Gekas, Emmanuel Bujold, Valérie Morin, Maude Vallée, Yves Giguère, and Christian Gagné, "Cost-effectiveness of the management of Rh-negative pregnant women", Journal of Obstetrics and Gynaecology Canada (JOGC), vol. 35, no. 8, pp. 730-740, 2013.

  • Léon Nshimyumukiza, Julie Duplantie, Mathieu Gagnon, Xavier Douville, Diane Fournier, Carmen Lindsay, Marc Parent, Alain Milot, Yves Giguère, Christian Gagné, François Rousseau, Daniel Reinharz, "Dabigatran versus warfarin under standard or pharmacogenetic-guided management for the prevention of stroke and systemic thromboembolism in patients with atrial fibrillation: a cost/utility analysis using an analytic decision model", Thrombosis journal, vol. 11, 14 pages, 2013.

  • Léon Nshimyumukiza, Audrey Durand, Mathieu Gagnon, Xavier Douville, Suzanne Morin, Carmen Lindsay, Julie Duplantie, Christian Gagné, Sonia Jean, Yves Giguère, Sylvie Dodin, François Rousseau and Daniel Reinharz, "An economic evaluation: Simulation of the cost/effectiveness and cost/utility of universal prevention strategies against osteoporosis-related fractures", Journal of Bone and Mineral Research, vol. 28, no. 2, pp. 383-394, 2013.

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