Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction:
Gespeichert in:
| Beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
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| Schlagwörter: | |
| Links: | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-232391 https://d-nb.info/1291497846/34 https://open.fau.de/handle/openfau/23239 |
| Umfang: | 1 Online-Ressource |
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| 245 | 1 | 0 | |a Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction |c Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner ; Thirty-first European Conference on Information Systems (ECIS 2023), Kristiansand, Norway |
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| spelling | Zilker, Sandra Verfasser aut Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner ; Thirty-first European Conference on Information Systems (ECIS 2023), Kristiansand, Norway Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager (DE-588)1071861417 Konferenzschrift gnd-content Weinzierl, Sven Verfasser aut Zschech, Patrick Verfasser aut Kraus, Mathias Verfasser aut Matzner, Martin Verfasser aut European Conference on Information Systems 31. 2023 Kristiansand Sonstige (DE-588)1290300925 oth https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-232391 Resolving-System kostenfrei Volltext https://d-nb.info/1291497846/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/23239 Verlag kostenfrei Volltext 1\p emakn 0,19117 20230603 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,45413 20230603 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20230602 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Zilker, Sandra Weinzierl, Sven Zschech, Patrick Kraus, Mathias Matzner, Martin Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction |
| subject_GND | (DE-588)1071861417 |
| title | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction |
| title_auth | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction |
| title_exact_search | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction |
| title_full | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner ; Thirty-first European Conference on Information Systems (ECIS 2023), Kristiansand, Norway |
| title_fullStr | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner ; Thirty-first European Conference on Information Systems (ECIS 2023), Kristiansand, Norway |
| title_full_unstemmed | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner ; Thirty-first European Conference on Information Systems (ECIS 2023), Kristiansand, Norway |
| title_short | Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction |
| title_sort | best of both worlds combining predictive power with interpretable and explainable results for patient pathway prediction |
| topic_facet | Konferenzschrift |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-232391 https://d-nb.info/1291497846/34 https://open.fau.de/handle/openfau/23239 |
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