AIMC Topic: International Classification of Diseases
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[Automatic ICD-10 coding : Natural language processing for German MRI reports].
Radiologie (Heidelberg, Germany)
Aug 9, 2024
BACKGROUND: The medical coding of radiology reports is essential for a good quality of care and correct billing, but at the same time a complex and error-prone task.
ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations.
Scientific reports
Aug 7, 2024
Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for healthcare applications. However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporate...
Developing and testing a framework for coding general practitioners' free-text diagnoses in electronic medical records - a reliability study for generating training data in natural language processing.
BMC primary care
Jul 16, 2024
BACKGROUND: Diagnoses entered by general practitioners into electronic medical records have great potential for research and practice, but unfortunately, diagnoses are often in uncoded format, making them of little use. Natural language processing (N...
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...
Validation of GPT-4 for clinical event classification: A comparative analysis with ICD codes and human reviewers.
Journal of gastroenterology and hepatology
Apr 16, 2024
BACKGROUND AND AIM: Effective clinical event classification is essential for clinical research and quality improvement. The validation of artificial intelligence (AI) models like Generative Pre-trained Transformer 4 (GPT-4) for this task and comparis...
Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA).
Health services research
Mar 30, 2024
OBJECTIVE: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.
Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records.
American journal of ophthalmology
Feb 1, 2024
PURPOSE: Nearly all published ophthalmology-related Big Data studies rely exclusively on International Classification of Diseases (ICD) billing codes to identify patients with particular ocular conditions. However, inaccurate or nonspecific codes may...
Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model.
Methods (San Diego, Calif.)
Dec 21, 2023
The International Classification of Diseases (ICD) serves as a global healthcare administration standard, with one of its editions being ICD-10-CM, an enhanced diagnostic classification system featuring numerous new codes for specific anatomic sites,...
TraumaICD Bidirectional Encoder Representation From Transformers: A Natural Language Processing Algorithm to Extract Injury International Classification of Diseases, 10th Edition Diagnosis Code From Free Text.
Annals of surgery
Sep 27, 2023
OBJECTIVE: To develop and validate TraumaICDBERT, a natural language processing algorithm to predict injury International Classification of Diseases, 10th edition (ICD-10) diagnosis codes from trauma tertiary survey notes.
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