Supporting clinical processes and decisions by hierarchical planning and scheduling

This article is focused on how a general-purpose hierarchical planning representation, based on the hierarchical task networks (HTN) paradigm, can be used to support the representation of oncology treatment protocols. The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representation and generating oncology treatment plans that have been proven to support clinical decisions in the area of pediatrics oncology.