Suchergebnisse - "ICD coding"

A Review on Deep Neural Networks for ICD Coding von Teng, Fei, Liu, Yiming, Li, Tianrui, Zhang, Yi, Li, Shuangqing, Zhao, Yue

“… Manual ICD coding takes a long time and is vulnerable to errors, so researchers pay more and more attention to the application of deep neural networks in ICD automatic coding …”
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ICD coding for epilepsy: Past, present, and future—A report by the International League Against Epilepsy Task Force on ICD codes in epilepsy von Jette, Nathalie, Beghi, Ettore, Hesdorffer, Dale, Moshé, Solomon L., Zuberi, Sameer M., Medina, Marco T., Bergen, Donna

“… Summary The World Health Organization (WHO) International Classification of Diseases (ICD) has been used to classify causes of morbidity and mortality such as …”
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Hierarchical label-wise attention transformer model for explainable ICD coding von Liu, Leibo, Perez-Concha, Oscar, Nguyen, Anthony, Bennett, Vicki, Jorm, Louisa

“… International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data …”
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A Pseudo Label-Wise Attention Network for Automatic ICD Coding von Wu, Yifan, Zeng, Min, Yu, Ying, Li, Yaohang, Li, Min

“… 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 large and the distribution of labels is unbalanced …”
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How accurate is ICD coding for epilepsy? von Jetté, Nathalie, Reid, Aylin Y., Quan, Hude, Hill, Michael D., Wiebe, Samuel

“… Summary Purpose:  Assess the validity of ICD‐9‐CM and ICD‐10 epilepsy coding from an emergency visit (ER) and a hospital discharge database (DAD). Methods:  …”
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Few-shot ICD coding with knowledge transfer and evidence representation von Teng, Fei, Zhang, Quanmei, Zhou, Xiaomin, Hu, Jie, Li, Tianrui

“… Consequently, we resort to transfer learning as a solution to address the challenge of ICD coding with limited instances …”
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Retrieve and rerank for automated ICD coding via Contrastive Learning von Niu, Kunying, Wu, Yifan, Li, Yaohang, Li, Min

“… Automated ICD coding is a multi-label prediction task aiming at assigning patient diagnoses with the most relevant subsets of disease codes …”
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JAN: Joint Attention Networks for Automatic ICD Coding von Wu, Yuzhou, Chen, Zhigang, Yao, Xin, Chen, Xuechen, Zhou, Zeren, Xue, Jinkai

“… (WHO). ICD coding usually requires clinicians to manually allocate ICD codes to clinical documents, which is labor-intensive, expensive, and error-prone …”
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Deep learning for automatic ICD coding: Review, opportunities and challenges von Li, Xiaobo, Zhang, Yijia, Hou, Xiaodi, Wang, Shilong, Lin, Hongfei

“… The automatic International Classification of Diseases (ICD) coding task assigns unique medical codes to diseases in clinical texts for further data statistics, quality control, billing and other tasks …”
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Automated ICD coding via unsupervised knowledge integration (UNITE) von Sonabend W, Aaron, Cai, Winston, Ahuja, Yuri, Ananthakrishnan, Ashwin, Xia, Zongqi, Yu, Sheng, Hong, Chuan

“… •Unsupervised ICD coding without requiring human labor.•Analyzing clinical narrative notes via semantic relevance assessment …”
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How to leverage large language models for automatic ICD coding von Yoo, Youngju, Kim, Sewon

“… ICD coding, which involves assigning appropriate ICD codes to clinical notes, is essential for healthcare tasks such as health expense claims, insurance claims, and disease research …”
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KAICD: A knowledge attention-based deep learning framework for automatic ICD coding von Wu, Yifan, Zeng, Min, Fei, Zhihui, Yu, Ying, Wu, Fang-Xiang, Li, Min

“… Automatic International Classification of Diseases (ICD) coding is an important task in the future of artificial intelligence healthcare …”
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Context-aware automated ICD coding: A semantic-driven approach von Reshma, O.K., Saleena, N., Nazeer, K.A. Abdul

“… Identifying the exact International Classification of Diseases (ICD) codes describing a patient’ s health condition is essential in classifying patients with …”
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Comparing the validity of different ICD coding abstraction strategies for sepsis case identification in German claims data von Fleischmann-Struzek, Carolin, Thomas-Rüddel, Daniel O., Schettler, Anna, Schwarzkopf, Daniel, Stacke, Angelika, Seymour, Christopher W., Haas, Christoph, Dennler, Ulf, Reinhart, Konrad

“… Cases were identified by three previously published International Statistical Classification of Diseases (ICD …”
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Modelling long medical documents and code associations for explainable automatic ICD coding von Hou, Wen-hui, Wang, Xiao-kang, Wang, Ya-nan, Wang, Jian-qiang, Xiao, Fei

“… Owing to the labour-intensive and error-prone nature of manual coding, automatic ICD coding using deep learning methods has flourished …”
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The Association Between Metformin Use and New-Onset ICD Coding of Geographic Atrophy von Moir, John, Hyman, Max J., Gonnah, Reem, Flores, Andrea, Hariprasad, Seenu M., Skondra, Dimitra

“…  years and older with new-onset International Classification of Diseases (ICD) coding of GA in the Merative MarketScan Commercial and Medicare Databases between 2017 and 2021 …”
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Automated ICD coding using extreme multi-label long text transformer-based models von Liu, Leibo, Perez-Concha, Oscar, Nguyen, Anthony, Bennett, Vicki, Jorm, Louisa

“… (PLM-ICD and XR-Transformer) and proposed a novel Transformer-based model (XR-LAT), aiming to address the extreme label set and long text classification challenges that are posed by automated ICD coding tasks …”
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ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations von Wang, Zeqiang, Wang, Yuqi, Zhang, Haiyang, Wang, Wei, Qi, Jun, Chen, Jianjun, Sastry, Nishanth, Johnson, Jon, De, Suparna

“… However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporates extreme multi-label classification tasks to enhance International Classification of Diseases (ICD) coding …”
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Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy von Marcou, Quentin, Berti-Equille, Laure, Novelli, Noël

“… However, ICD coding is a challenging task. While numerous previous studies reported promising results in automatic ICD classification, they often describe input data specific model architectures, that are heterogeneously evaluated …”
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The application of quality control circle in improving the accuracy of ICD coding on medical records von Ou, Wenjing, Chang, Peiyan, Zhou, Jinghua, Zhou, Zhiqiang, Jiang, Mingfang, Wu, Chao

“… : “Improving the Accuracy of ICD Coding on Medical Case Front …”
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