Produktnummer:
18a4c54d9097da40ce8be439c2e47407b9
| Themengebiete: | artificial intelligence in medicine business process management eXplainable artificial intelligence in healthcare interpretable machine learning process mining in healthcare process oriented data science trustworthy artificial intelligence |
|---|---|
| Veröffentlichungsdatum: | 26.02.2024 |
| EAN: | 9783031543029 |
| Sprache: | Englisch |
| Seitenzahl: | 131 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Bielza, Concha Fernandez-Llatas, Carlos Johnson, Owen Juarez, Jose M. Kocbek, Primoz Larrañaga, Pedro Martin, Niels Munoz-Gama, Jorge Sepulveda, Marcos Vellido, Alfredo Štiglic, Gregor |
| Verlag: | Springer International Publishing |
| Untertitel: | Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings |
Produktinformationen "Explainable Artificial Intelligence and Process Mining Applications for Healthcare"
This book constitutes the proceedings of the Third International Workshop on Explainable Artificial Intelligence in Healthcare, XAI-Healthcare 2023, and the First International Workshop on Process Mining Applications for Healthcare, PM4H 2023, which took place in conjunction with AIME 2023 in Portoroz, Slovenia, on June 15, 2023.The 7 full papers included from XAI-Healthcare were carefully reviewed and selected from 11 submissions. They focus on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. For PM4H 5 papers have been accepted from 17 submissions. They deal with data-driven process analysis techniques in healthcare.
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