Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks

Standard reference terminology of diagnoses and risk factors is crucial for billing, epidemiological studies, and inter/intranational comparisons of diseases. The International Classification of Disease (ICD) is a standardized and widely used method, but the manual classification is an enormously time-consuming endeavor. Natural language processing together with machine learning allows automated structuring of diagnoses using ICD-10 codes, but the limited performance of machine learning models, the necessity of gigantic datasets, and poor reliability of terminal parts of these codes restricted... Mehr ...

Verfasser: Sammani, Arjan
Bagheri, Ayoub
van der Heijden, Peter G M
Te Riele, Anneline S J M
Baas, Annette F
Oosters, C A J
Oberski, Daniel
Asselbergs, Folkert W
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Schlagwörter: Medicine (miscellaneous) / Health Informatics / Health Information Management / Computer Science Applications
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27457114
Datenquelle: BASE; Originalkatalog
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Link(s) : https://dspace.library.uu.nl/handle/1874/411986