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The Potential of AI-Based Clinical Text Mining to Improve Patient Safety: the Case of Implant Terms and Patient Journals.
Santini, Marina
RISE Research Institutes of Sweden, Digital Systems, Prototyping Society.
ORCID iD:
0000-0002-5737-8149
Jerdhaf, O
Linköping University, Sweden.
Karlsson, A
Linköping University, Sweden.
Eneling, E
Linköping University, Sweden.
Stridsman, M
Linköping University, Sweden.
Jönsson, A
Linköping University, Sweden.
Lundberg, P
Linköping University, Sweden; CMIV, Sweden.
Show others and affiliations
2021 (English)
Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
2021. article id 692
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:ri:diva-58559
OAI: oai:DiVA.org:ri-58559
DiVA, id:
diva2:1638056
Conference
Joint Annual Meeting ISMRM-ESMRMB & ISMRT. 31st Annual Meeting, 07-12 May 2022 in London, England, UK.
Available from:
2022-02-15
Created:
2022-02-15
Last updated:
2025-09-23
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(112 kB)
144 downloads
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FULLTEXT01.pdf
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8921e3725515165043af7e6303f711a93201fc8c7218dda8fe87ee4c583f265031924259fa4538fee6003ab13b9467df0f5d0302ed759d8ac9164b632345514a
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Santini, Marina
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Total: 144 downloads
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modern-language-association-8th-edition
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