9783731512899.pdf

Digitalization 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...

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Γλώσσα:German
Έκδοση: KIT Scientific Publishing 2023
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000156884
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spelling oapen-20.500.12657-630942024-03-28T08:18:52Z Über die Formalisierung und Analyse medizinischer Prozesse im Kontext von Expertenwissen und künstlicher Intelligenz Philipp, Patrick KI Expertenwissen Formalisierung Prozess Transformation AI Expert knowledge formalization process transformation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists Digitalization 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. 2023-05-23T15:45:36Z 2023-05-23T15:45:36Z 2023 book ONIX_20230523_9783731512899_13 1863-6489 9783731512899 https://library.oapen.org/handle/20.500.12657/63094 ger Karlsruher Schriften zur Anthropomatik application/pdf n/a 9783731512899.pdf https://doi.org/10.5445/KSP/1000156884 KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000156884 Digitalization 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. 10.5445/KSP/1000156884 44e29711-8d53-496b-85cc-3d10c9469be9 9783731512899 KIT Scientific Publishing 58 276 Karlsruhe open access
institution OAPEN
collection DSpace
language German
description Digitalization 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.
title 9783731512899.pdf
spellingShingle 9783731512899.pdf
title_short 9783731512899.pdf
title_full 9783731512899.pdf
title_fullStr 9783731512899.pdf
title_full_unstemmed 9783731512899.pdf
title_sort 9783731512899.pdf
publisher KIT Scientific Publishing
publishDate 2023
url https://doi.org/10.5445/KSP/1000156884
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