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.
ai planning and scheduling temporal hierarchical task networks planning clinical decision support systems