Risk prediction with machine learning and regression methods

Ewout W Steyerberg; Tjeerd van der Ploeg; Ben Van Calster

doi:10.1002/bimj.201300297

Risk prediction with machine learning and regression methods

Biom J. 2014 Jul;56(4):601-6. doi: 10.1002/bimj.201300297. Epub 2014 Feb 25.

Authors

Ewout W Steyerberg¹, Tjeerd van der Ploeg, Ben Van Calster

Affiliation

¹ Department of Public Health, Erasmus MC, Rotterdam, The Netherlands.

PMID: 24615859
DOI: 10.1002/bimj.201300297

Abstract

This is a discussion of issues in risk prediction based on the following papers: "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory" by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications" by Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.

Keywords: Machine learning; Prediction; Regression.

MeSH terms

Artificial Intelligence*
Biomedical Research
Biometry
Humans
Probability*
Regression Analysis
Risk Assessment
Support Vector Machine
Uncertainty