Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study
Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study (JMIR).
Background: The automatic coding of clinical text documents by using the International Classification of Diseases, 10th Revision (ICD-10) can be performed for statistical analyses and reimbursements. With the development of natural language processing models, new transformer architectures with attention
mechanisms have outperformed previous models.
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Federated learning was used to train the ICD-10 classification model on
multicenter clinical text while protecting data privacy. The model’s
performance was better than that of models that were trained locally.
Quelle: JMIR, 10.11.2022
