SUPPORTING CLINICAL PROCESSES AND DECISIONS BY HIERARCHICAL PLANNING AND SCHEDULING
Juan Fernández-Olivares, Luis Castillo, Juan A. Cózar, Óscar García Pérez · Computational Intelligence · 2011
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.