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Dynamic and concordance-assisted learning for risk stratification with application to Alzheimer's disease

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Dynamic prediction models capable of retaining accuracy by evolving over time could play a significant role for monitoring disease progression in clinical practice. In biomedical studies with long-term follow up, participants are often monitored through period... ...