A survey of automated International Classification of Diseases coding: development, challenges, and applications
The International Classification of Diseases (ICD) is an international standard and tool for
epidemiological investigation, health management, and clinical diagnosis with a …
epidemiological investigation, health management, and clinical diagnosis with a …
Big data analytics in healthcare
A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
[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 …
Drug-protein interaction prediction via variational autoencoders and attention mechanisms
Y Zhang, Y Hu, H Li, X Liu - Frontiers in genetics, 2022 - frontiersin.org
During the process of drug discovery, exploring drug-protein interactions (DPIs) is a key
step. With the rapid development of biological data, computer-aided methods are much …
step. With the rapid development of biological data, computer-aided methods are much …
[HTML][HTML] Automated ICD coding for coronary heart diseases by a deep learning method
S Zhao, X Diao, Y Xia, 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) …
Big data analytics in healthcare
G Chen, M Islam - 2019 2nd International Conference on Safety …, 2019 - ieeexplore.ieee.org
Big data is a new area of computer science. The concept of big data gained momentum in
the early 2000s. Big data is so large, complex and fast. Analytics is very much related to big …
the early 2000s. Big data is so large, complex and fast. Analytics is very much related to big …
A pseudo label-wise attention network for automatic ICD coding
Automatic International Classification of Diseases (ICD) coding is defined as a kind of text
multi-label classification problem, which is difficult because the number of labels is very …
multi-label classification problem, which is difficult because the number of labels is very …
[Retracted] Strategies for Ideological and Political Education in Colleges and Universities Based on Deep Learning
Y Sun - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Ideological and political education in colleges and universities is routinely burdened with the
job of building morality and cultivating people, which is related to the cultivation of college …
job of building morality and cultivating people, which is related to the cultivation of college …
Unifying diagnosis identification and prediction method embedding the disease ontology structure from electronic medical records
Objective The reasonable classification of a large number of distinct diagnosis codes can
clarify patient diagnostic information and help clinicians to improve their ability to assign and …
clarify patient diagnostic information and help clinicians to improve their ability to assign and …
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach
Y Sun, L Sang, D Wu, S He, Y Chen, H Duan… - Artificial Intelligence in …, 2024 - Elsevier
Abstract Background Assigning International Classification of Diseases (ICD) codes to
clinical texts is a common and crucial practice in patient classification, hospital management …
clinical texts is a common and crucial practice in patient classification, hospital management …