Identifying Site‐Level Data Integrity Risks in Alzheimer’s Trials via Subject‐Level Heuristics and a Novel Machine Learning Framework
Due to AD's clinical heterogeneity and overlap with neuropsychiatric symptoms, our scalable approach offers early detection of anomalous trial behavior, supporting more trustworthy efficacy assessments across AD and related psychiatric trials.
Authors
- Joseph Geraci (ORCID: https://orcid.org/0000-0003-0967-2164)
Institutions
- Queen's University (CA)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108662
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00