Bringing Data-Driven Intelligence to Simulation Models Using Machine Learning

Poster presented at Sixth European Business Intelligence & Big Data Summer School (eBISS 2016)Université Francois Rabelais, Tours, FranceSummaryIn this study, we attempt to incorporate the simulation modeling with data-driven knowledge using machine learning. The machine learning models are used to guide the simulation model in conjunction with a simulation experiment. Specifically, predictions are made on selected system variables, which we classify as “strategic variables". The approach was experimented in the context of discharge planning for elderly patients applied to hip fracture care in Ireland. On one hand, a discrete event simulation model (DES) served as the core component. On the other hand, two machine learning models were developed in order to predict the length of stay (LOS) and discharge destination for every elderly patient generated by the simulation model.