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Illing, S.: Automatisiertes klinisches Codieren (2021)
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- Abstract
- Die in diesem Artikel vorgestellte Bachelorarbeit behandelt die Ergebnisse einer Shared Task im Bereich eHealth. Es wird untersucht, ob die Klassifikationsgenauigkeit ausgewählter klinischer Codiersysteme durch den Einsatz von Ensemble-Methoden verbessert werden kann. Entscheidend dafür sind die Werte der Evaluationsmaße Mean Average Precision und F1-Maß.
- Source
- Information - Wissenschaft und Praxis. 72(2021) H.5/6, S.285-290
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Bianchini, C.; Bargioni, S.: Automated classification using linked open data : a case study on faceted classification and Wikidata (2021)
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- Date
- 16.12.2021 13:20:30
- Language
- e
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Han, K.; Rezapour, R.; Nakamura, K.; Devkota, D.; Miller, D.C.; Diesner, J.: ¬An expert-in-the-loop method for domain-specific document categorization based on small training data (2023)
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- Date
- 12. 5.2023 14:39:20
- Language
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Kragelj, M.; Borstnar, M.K.: Automatic classification of older electronic texts into the Universal Decimal Classification-UDC (2021)
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- Date
- 10. 3.1997 20:31:13
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Wu, M.; Liu, Y.-H.; Brownlee, R.; Zhang, X.: Evaluating utility and automatic classification of subject metadata from Research Data Australia (2021)
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Pech, G.; Delgado, C.; Sorella, S.P.: Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures : an application in Physics (2022)
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Ahmed, M.; Mukhopadhyay, M.; Mukhopadhyay, P.: Automated knowledge organization : AI ML based subject indexing system for libraries (2023)
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