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. volum 14 (5).
  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. volum 29 (3).
  Academic literature review

Part of book/report

• Yan, Melissa; Høvik, Lise Husby; Gustad, Lise Tuset; Nytrø, Øystein. (2021) Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
  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. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
  Academic chapter/article/Conference paper