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dc.contributor.authorYan, Melissa Y.
dc.contributor.authorGustad, Lise Tuset
dc.contributor.authorHøvik, Lise Husby
dc.contributor.authorNytrø, Øystein
dc.date.accessioned2023-08-14T12:20:29Z
dc.date.available2023-08-14T12:20:29Z
dc.date.issued2023
dc.description.abstractAnnotated clinical text corpora are essential for machine learning studies that model and predict care processes and disease progression. However, few studies describe the necessary experimental design of the annotation guideline and annotation phases. This makes replication, reuse, and adoption challenging. Using clinical questions about sepsis, we designed a semantic annotation guideline to capture sepsis signs from clinical text. The clinical questions aid guideline design, application, and evaluation. Our method incrementally evaluates each change in the guideline by testing the resulting annotated corpus using clinical questions. Additionally, our method uses inter-annotator agreement to judge the annotator compliance and quality of the guideline. We show that the method, combined with controlled design increments, is simple and allows the development and measurable improvement of a purpose-built semantic annotation guideline. We believe that our approach is useful for incremental design of semantic annotation guidelines in general.en_US
dc.identifier.citationYan MYY, Gustad LT, Høvik L, Nytrø ØN: Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text. In: Naumann T, Abacha AB, Bethard S, Roberts K, Rumshisky A. Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023. Association for Computational Linguistics p. 236-246en_US
dc.identifier.cristinIDFRIDAID 2162789
dc.identifier.doi10.18653/v1/2023.clinicalnlp-1.29
dc.identifier.isbn978-1-959429-88-3
dc.identifier.urihttps://hdl.handle.net/10037/29909
dc.language.isoengen_US
dc.publisherACLen_US
dc.relation.projectIDNorges teknisk-naturvitenskapelige universitet: 80352300en_US
dc.relation.projectIDNorges forskningsråd: 259055en_US
dc.relation.urihttps://aclanthology.org/2023.clinicalnlp-1.29
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleMethod for Designing Semantic Annotation of Sepsis Signs in Clinical Texten_US
dc.type.versionpublishedVersionen_US
dc.typeChapteren_US
dc.typeBokkapittelen_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)