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Oberste, Luis ; Heinzl, Armin (2023) User-centric explainability in healthcare: A knowledge-level perspective of informed machine learning. IEEE Transactions on Artificial Intelligence New York, NY 4 4 840-857 [Zeitschriftenartikel]

Oberste, Luis ; Rüffer, Florian ; Aydingül, Okan ; Rink, Johann ; Heinzl, Armin Designing user-centric explanations for medical imaging with informed machine learning. Gerber, Aurona ; Baskerville, Richard Lecture Notes in Computer Science 13873 470-484 In: Design Science Research for a New Society: Society 5.0 : 18th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2023, Pretoria, South Africa, May 31 – June 2, 2023, Proceedings (2023) Berlin [u.a.] DESRIST 2023 (Pretoria, South Africa) [Konferenzveröffentlichung]

Oberste, Luis ; Finze, Nikola ; Hoffmann, Philipp

; Heinzl, Armin Supporting the billing process in outpatient medical care: Automated medical coding through machine learning. European Conference on Information Systems (ECIS) : Research Papers 2022, Paper 136 1-18 In: Proceedings of the 30th European Conference on Information Systems (ECIS): Timișoara, Romania, June 18-24, 2022 (2022) Atlanta, GA ECIS 2022 (Timișoara, Romania) [Konferenzveröffentlichung]

Oberste, Luis ; Aydingül, Okan ; Jussupow, Ekaterina

; Heinzl, Armin When every minute matters : using predictive analytics of intervention durations to support hospital scheduling. PACIS Proceedings 2021, 221 1-9 In: PACIS 2021 : Pacific Asia Conference on Information Systems, 12th to 14th July 2021, Dubai (2021) Atlanta, GA PACIS 2021 (Online) [Konferenzveröffentlichung]

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