CASCADENET: An LSTM Based Deep Learning Model for Automated ICD-10 Coding-Reference-Cited by-同舟云学术

CASCADENET: An LSTM Based Deep Learning Model for Automated ICD-10 Coding

Published:2019-02-02 Issue: Volume: Page:55-74
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Azam Sheikh Shams,Raju Manoj,Pagidimarri Venkatesh,Kasivajjala Vamsi Chandra

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12385-7_6

Reference33 articles.

1. World Health Organization: International statistical classification of diseases and related health problems, vol. 1. World Health Organization (2004)

2. Beebe, M., et al.: Current Procedural Terminology: CPT. American Medical Association (2007)

3. McDonald, C., et al.: Logical observation identifiers names and codes (LOINC) users’ guide. Regenstrief Institute, Indianapolis (2004)

4. Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735–1780 (1997)

5. Farkas, R., Szarvas, G.: Automatic construction of rule-based ICD-9-CM coding systems. BMC Bioinform. 93 BioMed Central (2008)

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