TY - JOUR
T1 - ASP for Conformance Analysis and Explanation of Clinical Guidelines Execution
AU - Piovesan, Luca
AU - Spiotta, Matteo
AU - Terenziani, Paolo
AU - Theseider Dupré, Daniele
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - In this paper, we present an approach where Answer Set Programming is used for analyzing the conformance of execution traces, describing the treatment of individual patients, to Computer-Interpretable Guidelines (CIGs) in the medical domain. The problem is challenging because the CIG for a given pathology describes the most typical treatments for that pathology and cannot take into account all the specific cases that may occur for a specific patient, being them contraindications, temporary conditions of the patient, or other major pathologies. Deviations (also in the timing) from a single guideline may then be explainable using general medical knowledge or knowledge about the interaction between pathologies or treatments.
AB - In this paper, we present an approach where Answer Set Programming is used for analyzing the conformance of execution traces, describing the treatment of individual patients, to Computer-Interpretable Guidelines (CIGs) in the medical domain. The problem is challenging because the CIG for a given pathology describes the most typical treatments for that pathology and cannot take into account all the specific cases that may occur for a specific patient, being them contraindications, temporary conditions of the patient, or other major pathologies. Deviations (also in the timing) from a single guideline may then be explainable using general medical knowledge or knowledge about the interaction between pathologies or treatments.
KW - Answer Set
KW - Clinical Guideline Execution
KW - Computer-interpretable Guideline (CIG)
KW - General Medical Knowledge
KW - Single Guideline
UR - https://www.scopus.com/pages/publications/85088035500
U2 - 10.1007/s13218-018-0540-1
DO - 10.1007/s13218-018-0540-1
M3 - Article
SN - 0933-1875
VL - 32
SP - 201
EP - 204
JO - KI - Kunstliche Intelligenz
JF - KI - Kunstliche Intelligenz
IS - 2-3
ER -