Abstract
Conflicts in recommended medical interventions regularly arise when multiple treatments are simultaneously needed for patients with comorbid diseases. An approach that can automatically repair such inconsistencies and generate conflict-free combined treatments is thus a valuable aid for clinicians. In this paper we propose an answer set programming based method that detects and repairs conflicts between treatments. The answer sets of the program directly correspond to proposed treatments, accounting for multiple possible solutions if they exist. We also include the possibility to take preferences based on drug-drug interactions into account while solving inconsistencies. We show in a case study that our method results in more preferred treatments than standard approaches.
T.G. McKelvey—University of Washington Occupational and Environmental Medicine Fellow.
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Notes
- 1.
For the full code, see http://www.cwi.ugent.be/ComorbidityConflictSolver.html.
- 2.
- 3.
The keywords pos(X) and neg(X) refer to an action X being present and absent from a treatment respectively.
- 4.
Cy: Cyanocobalamin.
- 5.
Fl: Flibanserin.
- 6.
We use the “Interactions Checker” at http://www.drugs.com.
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Merhej, E., Schockaert, S., McKelvey, T.G., De Cock, M. (2017). Generating Conflict-Free Treatments for Patients with Comorbidity Using Answer Set Programming. In: Riaño, D., Lenz, R., Reichert, M. (eds) Knowledge Representation for Health Care. ProHealth KR4HC 2016 2016. Lecture Notes in Computer Science(), vol 10096. Springer, Cham. https://doi.org/10.1007/978-3-319-55014-5_7
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