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Improving Model Transferability for Clinical Note Section Classification Models Using Continued Pretraining
2023-04-24
health informatics
Title + abstract only
View on medRxiv
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ObjectiveThe classification of clinical note sections is a critical step before doing more fine-grained natural language processing tasks such as social determinants of health extraction and temporal information extraction. Often, clinical note section classification models that achieve high accuracy for one institution experience a large drop of accuracy when transferred to another institution. The objective of this study is to develop methods that classify clinical note sections under the SOAP...
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