Using machine learning and electronic health record (EHR) data for the early prediction of Alzheimer's Disease and Related Dementias
This study underscores the potential of ML models for leveraging EHR data to enable early ADRD prediction, supporting timely interventions, and improving patient outcomes. By identifying both established and novel risk factors, these findings offer new opportunities for personalized screening and management strategies, advancing both clinical and informatics science.
Authors
- Sonia Akter (ORCID: https://orcid.org/0000-0002-9109-3307)
- Eduardo J. Simões (ORCID: https://orcid.org/0000-0003-4371-4305)
- Praveen Rao (ORCID: https://orcid.org/0000-0002-1859-0438)
- Z Y Liu
Institutions
- Institute for Medical Informatics and Biostatistics (CH)
- University of Missouri (US)
Publication Details
- Journal
- The Journal of Prevention of Alzheimer s Disease
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1016/j.tjpad.2025.100169
- Citations
- 16
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 23.54
Funders
- University of Missouri
- National Institute of Diabetes and Digestive and Kidney Diseases