Author

M. Kritzman

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Open access Sep 2026

Relevance-Based Prediction: A Transparent, Patient-SpecificApproach to Predicting Medical Outcomes

Accurate prediction of individual medical outcomes is essential for optimizing treatment allocation amid rising costs, coverage denials, and limited clinical resources. Traditional predictive models, including linear regression and neural networks, rely on average effects and cannot tailor predictions to the specific c...

C. Robinson, D. Turkington, L. Lee et al. · medRxiv · 0 citations

Open access Aug 2026

Relevance Based Prediction: A Transparent, Non-Artificial Intelligence, Mathematical Solution to Personalized Opioid Treatment

Accurate prediction of individual medical outcomes is essential for optimizing treatment allocation amid rising costs, coverage denials, and limited clinical resources. Traditional predictive models, including regression and neural networks, rely on average effects and cannot tailor predictions to the specific circumst...

C. Robinson, D. Turkington, L. Lee et al. · medRxiv · 0 citations