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Lee-or Alon, Hana Weitman, Alexander Shleyfman, and Gal A. Kaminka. Planning
to be Healthy: Towards Personalized Medication Planning. In Proceedings of the European Conference on Artificial Intelligence
(ECAI), 2024.
Earlier version apperas in the AIME-24 workshop on "AI and Precision Medicine"
Personalized medication plans determine the selection, dosage, and administration schedule of medications, to achieve medical goals that are 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.
@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.
},
}
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