DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding-Reference-Cited by-同舟云学术

DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding

Published:2022-09 Issue: Volume:205 Page:97-105
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Raz Bhutto Sajida,Wu Yifan,Zeng Min,Wahab Dogar Abdul,Ullah Kaleem,Li Min

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference45 articles.

1. World Health Organization. International Statistical Classification of Diseases and Related Health Problems;Organization;World Health Organization, Geneva,1993

2. The advantages and limitations of international classification of diseases, injuries and causes of death from aspect of existing health care system of Bosnia and Herzegovina;Kurbasic;Acta Informatica Medica,2008

3. A systematic literature review of automated clinical coding and classification systems;Stanfill;J. Am. Med. Inform. Assoc.,2010

4. A. Hazelwood, ICD-9 CM to ICD-10 CM: Implementation Issues and Challenges. ICD-9 CM. ICD-10 CM Implement Issues Chall AHIMA Am Health Inf Manag Assoc [Internet]. 2003 [citado el 6 de enero de 2019].

5. B. Kozlowski, ICD-10 lessons to be learned from other countries, ICD10monitor, July 31 (2012).

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model;Methods;2024-02

2. DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. Retrieve and rerank for automated ICD coding via Contrastive Learning;Journal of Biomedical Informatics;2023-07