| Article ID: | iaor201112682 |
| Volume: | 27 |
| Issue: | 1 |
| Start Page Number: | 103 |
| End Page Number: | 122 |
| Publication Date: | Feb 2011 |
| Journal: | Computational Intelligence |
| Authors: | Castillo Luis, Fdez-Olivares Juan, Czar Juan A, Garca Prez Oscar |
| Keywords: | medicine, planning, 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.