ABSTRACT
Recent trends toward data-driven methods may require a substantial rethinking of the process of developing simulation models. In this respect, the chapter aims to promote a discussion on the opportunities and potential for integrating simulation modeling with machine learning (ML) in particular. To provide a practical perspective, a realistic use case related to healthcare is presented, where simulation models are developed and assisted by ML predictions. In a broader sense, we aim to make the case that simulation models can be integrated with data-driven knowledge learned by ML.
