A review on deep neural networks for ICD coding
The International Classification of Diseases (ICD) is a standard for categorizing physical
conditions, which has been widely used for analyzing clinical data and monitoring health …
conditions, which has been widely used for analyzing clinical data and monitoring health …
A unified review of deep learning for automated medical coding
Automated medical coding, an essential task for healthcare operation and delivery, makes
unstructured data manageable by predicting medical codes from clinical documents. Recent …
unstructured data manageable by predicting medical codes from clinical documents. Recent …
[HTML][HTML] Automated ICD coding for primary diagnosis via clinically interpretable machine learning
X Diao, Y Huo, S Zhao, J Yuan, M Cui, Y Wang… - International journal of …, 2021 - Elsevier
Background Computer-assisted clinical coding (CAC) based on automated coding
algorithms has been expected to improve the International Classification of Disease, tenth …
algorithms has been expected to improve the International Classification of Disease, tenth …
[HTML][HTML] Neural translation and automated recognition of ICD-10 medical entities from natural language: Model development and performance assessment
L Falissard, C Morgand, W Ghosn… - JMIR medical …, 2022 - medinform.jmir.org
Background: The recognition of medical entities from natural language is a ubiquitous
problem in the medical field, with applications ranging from medical coding to the analysis of …
problem in the medical field, with applications ranging from medical coding to the analysis of …
[HTML][HTML] Retrieve and rerank for automated ICD coding via Contrastive Learning
Automated ICD coding is a multi-label prediction task aiming at assigning patient diagnoses
with the most relevant subsets of disease codes. In the deep learning regime, recent works …
with the most relevant subsets of disease codes. In the deep learning regime, recent works …
Comparison of different feature extraction methods for applicable automated ICD coding
Z Shuai, D **aolin, Y **g, H Yanni, C Meng… - BMC Medical Informatics …, 2022 - Springer
Background Automated ICD coding on medical texts via machine learning has been a hot
topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) …
topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) …
Can current explainability help provide references in clinical notes to support humans annotate medical codes?
The medical codes prediction problem from clinical notes has received substantial interest in
the NLP community, and several recent studies have shown the state-of-the-art (SOTA) code …
the NLP community, and several recent studies have shown the state-of-the-art (SOTA) code …
[HTML][HTML] Automated ICD coding for coronary heart diseases by a deep learning method
S Zhao, X Diao, Y **a, Y Huo, M Cui, Y Wang, J Yuan… - Heliyon, 2023 - cell.com
Automated ICD coding via machine learning that focuses on some specific diseases has
been a hot topic. As one of the leading causes of death, coronary heart diseases (CHD) …
been a hot topic. As one of the leading causes of death, coronary heart diseases (CHD) …
Modelling long medical documents and code associations for explainable automatic ICD coding
W Hou, X Wang, Y Wang, J Wang, F **ao - Expert Systems with …, 2024 - Elsevier
Abstract Quick and accurate International Classification of Diseases (ICD) code assignment
is vital for billing, reimbursement and medical research. Owing to the labour-intensive and …
is vital for billing, reimbursement and medical research. Owing to the labour-intensive and …
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification
Multi-label clinical text classification, such as automatic ICD coding, has always been a
challenging subject in Natural Language Processing, due to its long, domain-specific …
challenging subject in Natural Language Processing, due to its long, domain-specific …