Metabolic dysfunctions predict the development of Alzheimer's disease: Statistical and machine learning analysis of EMR data.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID: 39140368

Abstract

INTRODUCTION: The incidence of Alzheimer's disease (AD) and obesity rise concomitantly. This study examined whether factors affecting metabolism, race/ethnicity, and sex are associated with AD development.

Authors

  • Rex Liu
    Department of Computer Science, School of Engineering, University of California, Davis, CA 95616, USA.
  • Blythe Durbin-Johnson
    Division of Biostatistics, University of California Davis, Sacramento, CA, USA.
  • Brian Paciotti
    Data Center of Excellence, University of California, Davis, Sacramento, California, USA.
  • Albert T Liu
    Department of Obstetrics/Gynecology, University of California, Davis, Sacramento, California, USA.
  • Alyssa Weakley
    a Department of Psychology , Washington State University , Pullman , WA , USA.
  • Xin Liu
    Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences, Weifang, Shandong, China.
  • Yu-Jui Yvonne Wan
    Department of Medical Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.

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