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  1. Employees

Språkvelger

Norsk

Melissa Yan

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Melissa Yan

Postdoctoral Fellow
Department of Computer Science

melissa.yan@ntnu.no
328 PTS 2 Valgrinda, S. P. Andersens veg 15B, Trondheim
Publications Teaching Outreach

Publications

  • Chronological
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  • See all publications in Cristin

2023

  • 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 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

2021

  • 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; 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
  • 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

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

Teaching

Courses

  • IT6116 - Health data analysis - Introduction
  • IT6119 - Health Data and Artificial Intelligence
  • IT6122 - Clinical Information and Knowledge Systems

Outreach

2022

  • Lecture
    Nytrø, Øystein; Yan, Melissa Yuting; Pant, Dipendra. (2022) Helsedataanalyse og datadrevet beslutningsstøtte med anvendelser for sepsisforebygging og BUPH. Direktoratet for E-helse Fagsamling avd. legemidler, Direktoratet or E-helse , Trondheim 2022-11-10 - 2022-11-11

2019

  • Popular scientific lecture
    Gustad, Lise; Yan, Melissa Yuting; Skei, Nina Vibeche ; Liyanarachi, Kristin Vardheim; Åsberg, Signe. (2019) World Sepsis Day 2019: A global Health crisis. NTNU Universitetsbiblioteket Frokostmøte , Trondheim, NTNU 2019-09-13 - 2019-09-13

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