International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art

International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art

The International Classification of Diseases (ICD) serves as a widely employed framework for assigning diagnosis codes to electronic health records of patients. These codes facilitate the encapsulation of diagnoses and procedures conducted during a patient’s hospitalisation. This study aims to devis...

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Bibliographic Details
Main Authors: Ilyas Aden, Christopher H. T. Child, Constantino Carlos Reyes-Aldasoro
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Big Data and Cognitive Computing
Subjects:
ICD prediction
NLP
deep learning models (RNN, LSTM, BERT)
Online Access:https://www.mdpi.com/2504-2289/8/5/47

Internet

https://www.mdpi.com/2504-2289/8/5/47

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