Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 201-204 |
| Number of pages | 4 |
| Journal | KI - Kunstliche Intelligenz |
| Volume | 32 |
| Issue number | 2-3 |
| DOIs | |
| Publication status | Published - 1 Aug 2018 |
Keywords
- Answer Set
- Clinical Guideline Execution
- Computer-interpretable Guideline (CIG)
- General Medical Knowledge
- Single Guideline
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