Unraveling the multiple chronic conditions patterns among people with Alzheimer's disease and related dementia: A machine learning approach to incorporate synergistic interactions.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID: 38859733

Abstract

INTRODUCTION: Most people with Alzheimer's disease and related dementia (ADRD) also suffer from two or more chronic conditions, known as multiple chronic conditions (MCC). While many studies have investigated the MCC patterns, few studies have considered the synergistic interactions with other factors (called the syndemic factors) specifically for people with ADRD.

Authors

  • Pui Ying Yew
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Ryan Devera
    Department of Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Yue Liang
    School of Mathematics and Computer Sciences, Nanchang University, Nanchang, China.
  • Razan A El Khalifa
    Bioinformatics and Computational Biology, University of Minnesota, Rochester, Minnesota, USA.
  • Ju Sun
    Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Nai-Ching Chi
    College of Nursing, University of Iowa, Iowa City, Iowa, United States.
  • Ying-Chyi Chou
    Department of Business Administration, Tunghai University, Taichung, Taiwan.
  • Peter J Tonellato
    Department of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri School of Medicine, Columbia, Missouri, USA.
  • Chih-Lin Chi
    University of Minnesota School of Nursing, Minneapolis, MN, USA.

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