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MESH classification of clinical guidelinesusing conceptual embeddings of references
University of Borås, Faculty of Librarianship, Information, Education and IT.ORCID iD: 0000-0003-0659-4754
University of Borås, Faculty of Librarianship, Information, Education and IT.ORCID iD: 0000-0001-5196-7148
2019 (English)In: Proceedings of the 17th conference of the International society for scientometrics and informetrics, ISSI: with a Special STI Indicators Conference Track / [ed] Giuseppe Catalano, Cinzia Daraio, Martina Gregori, Henk F. Moed and Giancarlo Ruocco, 2019, Vol. 2, p. 859-864Conference paper, Published paper (Refereed)
Abstract [en]

In this study, we investigate different strategies for assigning MeSH (Medical Subject Headings) terms to clinical guidelines using machine learning. Features based on words in titles and abstracts are investigated and compared to features based on topics assigned to references cited by the guidelines. Two of the feature engineering strategies utilize word embeddings produced by recent models based on in the distributional hypothesis, called word2vecand fastText. The evaluation results show that reference-based strategies tend to yield a higher recall and F1 scores for MeSH terms with a sufficient amount of training instances, whereas title and abstract based features yield a higher precision.

Place, publisher, year, edition, pages
2019. Vol. 2, p. 859-864
Keywords [en]
MESH, clinical guidelines, machine learning, word embedding, word2vec, fasttext
National Category
Information Studies
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-22096ISBN: 978-88-3381-118-5 (print)OAI: oai:DiVA.org:hb-22096DiVA, id: diva2:1372348
Conference
17th conference of the International society for scientometrics and informetrics, ISSI
Projects
Data for Impact
Funder
EU, Horizon 2020, 770531Available from: 2019-11-22 Created: 2019-11-22 Last updated: 2019-12-06Bibliographically approved

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Authority records BETA

Eklund, JohanGunnarsson Lorenzen, DavidNelhans, Gustaf

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • harvard-cite-them-right
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More styles
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  • de-DE
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  • Other locale
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Output format
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