Dementia risk predictions from German claims data using methods of machine learning.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID: 35451562

Abstract

INTRODUCTION: We examined whether German claims data are suitable for dementia risk prediction, how machine learning (ML) compares to classical regression, and what the important predictors for dementia risk are.

Authors

  • Constantin Reinke
    Institute for Sociology and Demography, University of Rostock, Rostock, Germany.
  • Gabriele Doblhammer
    Institute for Sociology and Demography, University of Rostock, Rostock, Germany.
  • Matthias Schmid
    Department of Medical Biometry, Informatics and Epidemiology, Rheinische Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany. Electronic address: schmid@imbie.meb.uni-bonn.de.
  • Thomas Welchowski
    Department of Medical Biometry, Informatics and Epidemiology, Rheinische Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany. Electronic address: welchow@imbie.meb.uni-bonn.de.

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