Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models

Journal of Biomedical Informatics, vol. 155, pp. 104666

Authors 6

1. Marco Piccininni corresponding

   Hasso Plattner Institute · University of Potsdam · Charité - Universitätsmedizin Berlin

   Affiliation as printed

   Digital Health - Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, Potsdam, Germany; Digital Engineering Faculty, University of Potsdam, Potsdam, Germany; Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany. Electronic address: marco.piccininni@hpi.de

   Digital Engineering Faculty, University of Potsdam, Potsdam, Germany

   Digital Health—Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, Potsdam, Germany

   Institute of Public Health, Charité – Universitätsmedizin Berlin, Berlin, Germany

2. Maximilian Wechsung

   York University

   Affiliation as printed

   Department of Mathematics and Statistics, York University, Toronto, Canada

3. Ben Van Calster Aachen Department of Biomedical Data Sciences

   Leiden University Medical Center · KU Leuven

   Affiliation as printed

   Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Leuven Unit for Health Technology Assessment Research (LUHTAR), KU Leuven, Leuven, Belgium

   Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands

   Department of Development and Regeneration, KU Leuven, Leuven, Belgium

   Leuven Unit for Health Technology Assessment Research (LUHTAR), KU Leuven, Leuven, Belgium

4. Jessica Lee Rohmann

   Center for Stroke Research Berlin · Charité - Universitätsmedizin Berlin

   Affiliation as printed

   Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany; Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany

   Center for Stroke Research Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany

   Institute of Public Health, Charité – Universitätsmedizin Berlin, Berlin, Germany

5. Stefan Konigorski

   Hasso Plattner Institute · University of Potsdam · Icahn School of Medicine at Mount Sinai

   Affiliation as printed

   Digital Health - Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, Potsdam, Germany; Digital Engineering Faculty, University of Potsdam, Potsdam, Germany; Icahn School of Medicine at Mount Sinai, Hasso Plattner Institute for Digital Health at Mount Sinai, New York, NY, USA

   Digital Engineering Faculty, University of Potsdam, Potsdam, Germany

   Digital Health—Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, Potsdam, Germany

   Icahn School of Medicine at Mount Sinai, Hasso Plattner Institute for Digital Health at Mount Sinai, New York, NY, USA

6. Maarten van Smeden

   Utrecht University · University Medical Center Utrecht

   Affiliation as printed

   Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands