A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity
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This paper introduces a novel statistical methodology integrating machine learning (ML) and Bayesian modelling to facilitate personalized prognostic predictions with application to oncology. Utilizing power priors, we construct 'patient-similarity embeddings... ...
