Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions

Hancox, Z., Best, K. E., Todd, O. et al. (3 more authors) (Accepted: 2026) Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions. In: UNSPECIFIED Computer Based Medical Systems 2026, 03-05 Jun 2026, Limassol, Cyprus. . IEEE. (In Press)

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Dates:
  • Accepted: 21 April 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Funding Information:
Funder
Grant number
NHS National Inst. for Health Research Department of Health
NIHR206843
Date Deposited: 27 Apr 2026 15:00
Last Modified: 27 Apr 2026 15:00
Status: In Press
Publisher: IEEE
Open Archives Initiative ID (OAI ID):

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