Browsing NTNU Open by Author "Yan, Melissa Y."
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Capturing Signs and Events Related to Catheters in Clinical Text
Yan, Melissa Y. (Doctoral theses at NTNU;2023:410, Doctoral thesis, 2023)Annotated clinical corpora are necessary to extract information from clinical text for answering clinical questions. However, publicly available annotated clinical corpora are limited because of privacy issues, ethical ... -
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
Yan, Melissa Y.; Gustad, Lise Tuset; Høvik, Lise Husby; Nytrø, Øystein (Chapter, 2023)Annotated 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 ... -
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Yan, Melissa Y.; Gustad, Lise Tuset; Nytrø, Øystein (Peer reviewed; Journal article, 2021-12-13)Objective To determine the effects of using unstructured clinical text in machine learning (ML) for prediction, early detection, and identification of sepsis. Materials and methods PubMed, Scopus, ACM DL, dblp, and ... -
Understanding and Reasoning About Early Signs of Sepsis - From Annotation Guideline to Ontology
Yan, Melissa Y.; Høvik, Lise Husby; Gustad, Lise Tuset; Nytrø, Øystein (Chapter, 2022)In the clinical domain, patient states such as sepsis due to bloodstream infection (BSI) result in observable symptoms and signs used to determine diagnosis and treatment, all of which often is documented in electronic ...