Pål H. Brekke


2020

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Classification of Syncope Cases in Norwegian Medical Records
Ildiko Pilan | Pål H. Brekke | Fredrik A. Dahl | Tore Gundersen | Haldor Husby | Øystein Nytrø | Lilja Øvrelid
Proceedings of the 3rd Clinical Natural Language Processing Workshop

Loss of consciousness, so-called syncope, is a commonly occurring symptom associated with worse prognosis for a number of heart-related diseases. We present a comparison of methods for a diagnosis classification task in Norwegian clinical notes, targeting syncope, i.e. fainting cases. We find that an often neglected baseline with keyword matching constitutes a rather strong basis, but more advanced methods do offer some improvement in classification performance, especially a convolutional neural network model. The developed pipeline is planned to be used for quantifying unregistered syncope cases in Norway.

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Building a Norwegian Lexical Resource for Medical Entity Recognition
Ildiko Pilan | Pål H. Brekke | Lilja Øvrelid
Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020)

We present a large Norwegian lexical resource of categorized medical terms. The resource, which merges information from large medical databases, contains over 56,000 entries, including automatically mapped terms from a Norwegian medical dictionary. We describe the methodology behind this automatic dictionary entry mapping based on keywords and suffixes and further present the results of a manual evaluation performed on a subset by a domain expert. The evaluation indicated that ca. 80% of the mappings were correct.