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

Abstract 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 r... 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
Reihe/Periodikum: npj Digital Medicine ; volume 4, issue 1 ; ISSN 2398-6352
Verlag/Hrsg.: Springer Science and Business Media LLC
Schlagwörter: Health Information Management / Health Informatics / Computer Science Applications / Medicine (miscellaneous)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26685155
Datenquelle: BASE; Originalkatalog
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Link(s) : http://dx.doi.org/10.1038/s41746-021-00404-9