Reflections on dynamic prediction of Alzheimer's disease: advancements in modeling longitudinal outcomes and time-to-event data.

Journal: BMC medical research methodology
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Individualized prediction of health outcomes supports clinical medicine and decision making. Our primary objective was to offer a comprehensive survey of methods for the dynamic prediction of Alzheimer's disease (AD), encompassing both conventional statistical methods and deep learning techniques.

Authors

  • Durong Chen
    School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
  • Meiling Zhang
    Analytical and Testing Center of Wenzhou Medical University Wenzhou 325035, China.
  • Hongjuan Han
    School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, China.
  • Yalu Wen
    Department of Health Statistics, Shanxi Medical University, Taiyuan, Shanxi, China.
  • Hongmei Yu
    Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.

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