AIMC Topic: Clinical Coding
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EHR coding with hybrid attention and features propagation on disease knowledge graph.
Artificial intelligence in medicine
Jun 18, 2024
And sentences associated with these attributes and relationships have been neglected. in this paper ►We propose an end-to-end model called Knowledge Graph Enhanced neural network (KGENet) to address the above shortcomings. specifically ►We first cons...
Combining deep neural networks, a rule-based expert system and targeted manual coding for ICD-10 coding causes of death of French death certificates from 2018 to 2019.
International journal of medical informatics
Apr 26, 2024
OBJECTIVE: For ICD-10 coding causes of death in France in 2018 and 2019, predictions by deep neural networks (DNNs) are employed in addition to fully automatic batch coding by a rule-based expert system and to interactive coding by the coding team fo...
Application of specialized word embeddings and named entity and attribute recognition to the problem of unsupervised automated clinical coding.
Computers in biology and medicine
Aug 30, 2023
Notes documented by clinicians, such as patient histories, hospital courses, lab reports and others are often annotated with standardized clinical codes by medical coders to facilitate a variety of secondary processing applications such as billing an...
Multigranularity Label Prediction Model for Automatic International Classification of Diseases Coding in Clinical Text.
Journal of computational biology : a journal of computational molecular cell biology
Jul 31, 2023
International Classification of Diseases (ICD) serves as the foundation for generating comparable global disease statistics across regions and over time. The process of ICD coding involves assigning codes to diseases based on clinical notes, which ca...
Hierarchical label-wise attention transformer model for explainable ICD coding.
Journal of biomedical informatics
Aug 20, 2022
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable pred...
A tree based approach for multi-class classification of surgical procedures using structured and unstructured data.
BMC medical informatics and decision making
Nov 23, 2021
BACKGROUND: In surgical department, CPT code assignment has been a complicated manual human effort, that entails significant related knowledge and experience. While there are several studies using CPTs to make predictions in surgical services, litera...
Automated ICD coding for primary diagnosis via clinically interpretable machine learning.
International journal of medical informatics
Jul 27, 2021
BACKGROUND: Computer-assisted clinical coding (CAC) based on automated coding algorithms has been expected to improve the International Classification of Disease, tenth version (ICD-10) coding quality and productivity, whereas studies oriented to pri...
Artificial Intelligence for Unstructured Healthcare Data: Application to Coding of Patient Reporting of Adverse Drug Reactions.
Clinical pharmacology and therapeutics
May 8, 2021
Adverse drug reaction (ADR) reporting is a major component of drug safety monitoring; its input will, however, only be optimized if systems can manage to deal with its tremendous flow of information, based primarily on unstructured text fields. The a...
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.
Journal of biomedical informatics
Mar 9, 2021
BACKGROUND: Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usually done manually in hospitals but could potentially be automated to improve the efficiency...
A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes.
Journal of biomedical informatics
Apr 13, 2020
OBJECTIVE: This study aims to develop and evaluate effective methods that can normalize diagnosis and procedure terms written by physicians to standard concepts in International Classification of Diseases(ICD) in Chinese, with the goal to facilitate ...
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