Optimizing classification of diseases through language model analysis of symptoms
Abstract This paper investigated the use of language models and deep learning techniques for automating disease prediction from symptoms. Specifically, we explored the use of two Medical Concept Normalization—Bidirectional Encoder Representations from Transformers (MCN-BERT) models and a Bidirection...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-51615-5 |