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Über die Formalisierung und Analyse medizinischer Prozesse im Kontext von Expertenwissen und künstlicher Intelligenz

dc.contributor.authorPhilipp, Patrick
dc.date.accessioned2023-05-23T15:45:36Z
dc.date.available2023-05-23T15:45:36Z
dc.date.issued2023
dc.identifierONIX_20230523_9783731512899_13
dc.identifier.issn1863-6489
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/63094
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatik
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientistsen_US
dc.subject.otherKI
dc.subject.otherExpertenwissen
dc.subject.otherFormalisierung
dc.subject.otherProzess
dc.subject.otherTransformation
dc.subject.otherAI
dc.subject.otherExpert knowledge
dc.subject.otherformalization
dc.subject.otherprocess
dc.subject.othertransformation
dc.titleÜber die Formalisierung und Analyse medizinischer Prozesse im Kontext von Expertenwissen und künstlicher Intelligenz
dc.typebook
oapen.abstract.otherlanguageDigitalization has already transformed many areas of the economy and social life. Aspects of healthcare and clinical practice are also undergoing digital transformation. In light of these developments, this dissertation sheds light on the acquisition, representation, and use of process knowledge in the context of hybrid AI methods. The central contribution is the structure-preserving back-and-forth transformation of process trees to process plans.
oapen.identifier.doi10.5445/KSP/1000156884
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731512899
oapen.imprintKIT Scientific Publishing
oapen.series.number58
oapen.pages276
oapen.place.publicationKarlsruhe


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