Journal publications

• Yan, Melissa Y.; Gustad, Lise Tuset; Høvik, Lise Husby; Nytrø, Øystein. (2023) Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events. Semantic Web Journal
  Academic article
• Yan, Melissa; Gustad, Lise Tuset; Nytrø, Øystein. (2021) Sepsis Prediction, Early Detection and Identification Using Clinical Text for Machine Learning: A Systematic Review. JAMIA Journal of the American Medical Informatics Association
  Academic literature review

Part of book/report

• Yan, Melissa Y.; Gustad, Lise Tuset; Høvik, Lise Husby; Nytrø, Øystein. (2023) Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text. Association for Computational Linguistics
  Academic chapter/article/Conference paper
• Yan, Melissa; Høvik, Lise Husby; Gustad, Lise Tuset; Nytrø, Øystein. (2021) Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology. IEEE (Institute of Electrical and Electronics Engineers)
  Academic chapter/article/Conference paper
• Yan, Melissa; Høvik, Lise Husby; Pedersen, André; Gustad, Lise Tuset; Nytrø, Øystein. (2021) Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events. IEEE (Institute of Electrical and Electronics Engineers)
  Academic chapter/article/Conference paper