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: Arjan Sammani
Ayoub Bagheri
Peter G. M. van der Heijden
Anneline S. J. M. te Riele
Annette F. Baas
C. A. J. Oosters
Daniel Oberski
Folkert W. Asselbergs
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: npj Digital Medicine, Vol 4, Iss 1, Pp 1-10 (2021)
Verlag/Hrsg.: Nature Portfolio
Schlagwörter: Computer applications to medicine. Medical informatics / R858-859.7
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28984898
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1038/s41746-021-00404-9