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June 20, 2024 preprint Open access Aachen paper

Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection

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DOI: 10.21203/rs.3.rs-4527690/v1 Full text (OA) OpenAlex

Authors 9

  1. Elena Albu

    KU Leuven

    Affiliation as printed

    KU Leuven

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

  2. Shan Gao

    KU Leuven

    Affiliation as printed

    KU Leuven

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

  3. Pieter Stijnen

    Universitair Ziekenhuis Leuven

    Affiliation as printed

    Universitair Ziekenhuis Leuven

    Management Information Reporting Department, University Hospitals Leuven, Leuven, Belgium

  4. Frank E Rademakers

    Universitair Ziekenhuis Leuven · KU Leuven

    Affiliation as printed

    KU Leuven

    Universitair Ziekenhuis Leuven

  5. Christel Janssens

    Universitair Ziekenhuis Leuven · KU Leuven

    Affiliation as printed

    Universitair Ziekenhuis Leuven

    KU Leuven

  6. Veerle Cossey

    Universitair Ziekenhuis Leuven · KU Leuven

    Affiliation as printed

    KU Leuven

    Universitair Ziekenhuis Leuven

  7. Yves A. Debaveye

    Universitair Ziekenhuis Leuven

    Affiliation as printed

    Universitair Ziekenhuis Leuven

    Department of Cellular and Molecular Medicine, University Hospitals Leuven, Leuven, Belgium

  8. Laure Wynants

    Maastricht University · KU Leuven

    Affiliation as printed

    KU Leuven

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

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

    School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands

  9. Ben Van Calster corresponding Aachen Department of Biomedical Data Sciences

    Leiden University Medical Center · KU Leuven

    Affiliation as printed

    KU Leuven

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

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

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

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References 23