A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
Archimedes: a new model for simulating health care systems-the mathematical formulation
Journal of Biomedical Informatics
Applying a framework for healthcare incentives simulation
Proceedings of the Winter Simulation Conference
A framework for evidence-based health care incentives simulation
Proceedings of the Winter Simulation Conference
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Computers allow describing the progress of a disease using computerized models. These models allow aggregating expert and clinical information to allow researchers and decision makers to forecast disease progression. To make this forecast reliable, good models and therefore good modeling tools are required. This paper will describe a new computer tool designed for chronic disease modeling. The modeling capabilities of this tool were used to model the Michigan model for diabetes. The modeling approach and its advantages such as simplicity, availability, and transparency are discussed.