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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Dec 10, 2021
Open Peer Review Period: Dec 10, 2021 - Feb 4, 2022
Date Accepted: Feb 25, 2022
Date Submitted to PubMed: Apr 22, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study

sun y, gao d, shen x, li m, nan j, zhang w

Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study

JMIR Med Inform 2022;10(4):e35606

DOI: 10.2196/35606

PMID: 35451969

PMCID: 9073616

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.