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Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain

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dc.contributor.authorLuttermann, Malte
dc.contributor.authorBaake, Edgar
dc.contributor.authorBouchagiar, Juljan
dc.contributor.authorGebel, Benjamin
dc.contributor.authorGrüning, Philipp
dc.contributor.authorManikwadura, Dilini
dc.contributor.authorSchollemann, Franziska
dc.contributor.authorTeifke, Elisa
dc.contributor.authorRostalski, Philipp
dc.contributor.authorMöller, Ralf
dc.date2024-11-01
dc.date.accessioned2025-01-13T11:15:16Z
dc.date.available2025-01-13T11:15:16Z
dc.date.issued2024
dc.description.abstractFailure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process. The FMEA approach, however, requires domain experts to manually analyse the FMEA model to derive risk-reducing actions that should be applied. In this paper, we provide a formal framework to allow for automatic planning and acting in FMEA models. More specifically, we cast the FMEA model into a Markov decision process which can then be solved by existing solvers. We show that the FMEA approach can not only be used to support medical experts during the modelling process but also to automatically derive optimal therapies for the treatment of patients.de
dc.identifier.doi10.1007/s13218-023-00810-z
dc.identifier.issn1610-1987
dc.identifier.urihttp://dx.doi.org/10.1007/s13218-023-00810-z
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45578
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 38, No. 3
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.titleAutomated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domainde
dc.typeText/Journal Article
mci.reference.pages189-201

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Künstliche Intelligenz 38(3) - November 2024