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- W2808681305 abstract "Ontologies are popular way of representing knowledge and semantics of data in medical and health fields. Surprisingly, few machine learning methods allow for encoding semantics of data and even fewer allow for using ontologies to guide learning process. This paper discusses the use of data semantics and ontologies in health and medical applications of supervised learning, and particularly describes how the Unified Medical Language System (UMLS) is used within AQ21 rule learning software. Presented concepts are illustrated using two applications based on distinctly different types of data and methodological issues." @default.
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- W2808681305 date "2018-01-01" @default.
- W2808681305 modified "2023-10-16" @default.
- W2808681305 title "Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis" @default.
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- W2808681305 doi "https://doi.org/10.1007/978-3-319-92928-6_1" @default.
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