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Artificial Intelligence for Knowledge Management 4th IFIP WG 12.6 International Workshop, AI4KM 2016 Held at IJCAI 2016 New York, NY, USA, July 9, 2016 |
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Conference papers
Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis
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.
Cited literature [43 references]
https://hal.inria.fr/hal-01950012
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Submitted on : Monday, December 10, 2018 - 3:09:34 PM
Last modification on : Thursday, February 7, 2019 - 3:38:35 PM
Long-term archiving on: : Monday, March 11, 2019 - 2:41:13 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, December 10, 2018 - 3:09:34 PM
Last modification on : Thursday, February 7, 2019 - 3:38:35 PM
Long-term archiving on: : Monday, March 11, 2019 - 2:41:13 PM
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