Simulation Models for Varying Predictors (9,000 Patients)

  • Cleophas T
  • Zwinderman A
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Abstract

In medicine predictors are often varying, like, e.g., the numbers of complications and the days in hospital in patients with various conditions. This chapter is to assess, whether Monte Carlo simulation of the varying predictors can improve the outcome predictions.

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Cleophas, T. J., & Zwinderman, A. H. (2015). Simulation Models for Varying Predictors (9,000 Patients). In Machine Learning in Medicine - a Complete Overview (pp. 195–201). Springer International Publishing. https://doi.org/10.1007/978-3-319-15195-3_32

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