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.
This chapter was previously published in “Machine learning in medicine-cookbook 2” as Chap. 8, 2014.
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© 2015 Springer International Publishing Switzerland
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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. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_32
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DOI: https://doi.org/10.1007/978-3-319-15195-3_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
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