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Erschienen in:

2014 | OriginalPaper | Buchkapitel

CodeMagic: Semi-Automatic Assignment of ICD-10-AM Codes to Patient Records

verfasst von : Damla Arifoğlu, Onur Deniz, Kemal Aleçakır, Meltem Yöndem

Erschienen in: Information Sciences and Systems 2014

Verlag: Springer International Publishing

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Abstract

In this study, we present a recommendation system for semiautomatic assignment of ICD-10-AM codes to free-text patient records. Only expert annotators can assign codes to medical texts, and the lack of standardization of medical documentation and language specific problems make the assignment process even more challenging. Our system assigns a set of top k ICD codes for each document by exploiting the idea of bag-of-words and by using Lucene search engine and Borda Count voting schema. Before the code assignment task, we preprocess patient records to form query bags. Experiments on a set of clinical records show that promising results are possible for semiautomatic assignment of ICD codes.

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Vorheriges Kapitel Traffic Engineering: Erlang and Engset Models Revisited with Diffusion Approximation

Nächstes Kapitel Utilizing Coverage Lists as a Pruning Mechanism for Concept Discovery

We would like to thank to the Hospital of Ankara Numune Eğitim ve Araştırma and Hacettepe University Hospital.

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Titel: CodeMagic: Semi-Automatic Assignment of ICD-10-AM Codes to Patient Records
verfasst von: Damla Arifoğlu
Onur Deniz
Kemal Aleçakır
Meltem Yöndem
Verlag: Springer International Publishing
Buch: Information Sciences and Systems 2014
Print ISBN: 978-3-319-09464-9

Electronic ISBN: 978-3-319-09465-6

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-09465-6_27

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