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@InProceedings{ecai24,
title = {Planning to be Healthy: Towards Personalized Medication Planning},
author = {Alon, {Lee-or} and Weitman, Hana and Shleyfman, Alexander and Kaminka, Gal A.},
booktitle = ECAI,
year = {2024},
wwwnote = {Earlier version apperas in the AIME-24 workshop on "AI and Precision Medicine"},
abstract = { Personalized medication plans determine the selection, dosage, and administration schedule of medications, to achieve medical goals that are \emph{specific to the patient and to its individual health constraints}. This paper introduces medication planning as a novel domain for artificial intelligence planning, using PDDL+. We evaluate the suggested representation via experiments based on data collected from medical studies conducted on mice and rats.
},
}