Optimizing elderly care: A data-driven AI model for predicting polypharmacy risk in the elderly using SHARE data.

Journal: Neuroscience
Published Date: May 5, 2025

Abstract

BACKGROUND: Aging is frequently accompanied by multimorbidity, the presence of multiple chronic conditions, which contributes to declines in both cognitive and physical function and presents complex health challenges. One such challenge is Polypharmacy (PP), defined as the concurrent use of more than five medications.

Authors

  • Aliaa A Elhosseiny
    Institute of Global Health and Human Ecology (I-GHHE), The American University in Cairo, Cairo, Egypt; Department of Pharmacology and Toxicology, Faculty of Pharmacy, The British University in Egypt, Cairo, Egypt.
  • Seif Eldawlatly
  • Eman Ramadan
    Department of Pharmacology and Toxicology, Faculty of Pharmacy, The British University in Egypt, Cairo, Egypt.
  • Axel Börsch-Supan
    Survey of Health, Ageing and Retirement in Europe (SHARE), Munich, Germany; Max Planck Institute for Social Law and Social Policy (MPISOC), Munich, Germany.
  • Mohamed Salama
    Institute of Global Health and Human Ecology, American University in Cairo, New Cairo, Egypt; Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin 2, Ireland; Faculty of Medicine, Mansoura University, El Mansura, Egypt. Electronic address: Mohamed-Salama@aucegypt.edu.

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