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Title

Artificial intelligence to predict infectious diseases outcomes in kidney transplant recipients

Author Mohammadreza ALIZADEH
Director of thesis Professor Douglas Teodoro
Co-director of thesis
Summary of thesis

This doctoral project focuses on developing predictive artificial intelligence and machine learning frameworks to forecast infectious disease outcomes in kidney transplant recipients. Given the high-dimensional clinical and longitudinal data, the research utilizes standard statistical learning alongside exploring advanced computational optimization methods, potentially including evolutionary algorithms and bio-inspired metaheuristics for feature selection and hyperparameter tuning.

Status
Administrative delay for the defence
URL
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