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SUPPORTING CLINICAL PROCESSES AND DECISIONS BY HIERARCHICAL PLANNING AND SCHEDULING
Author(s) -
FdezOlivares Juan,
Castillo Luis,
Cózar Juan A.,
García Pérez Oscar
Publication year - 2011
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.2010.00374.x
Subject(s) - computer science , operations research , psychology , artificial intelligence , mathematics
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.