Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35606, first published .
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

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

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

Yuanyuan Sun   1, 2 , BSc ;   Dongping Gao   1 , PhD ;   Xifeng Shen   1 , BSc ;   Meiting Li   1 , BSc ;   Jiale Nan   1 , BA ;   Weining Zhang   1 , BSc

1 Institute of Medical Information, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China

2 Department of Internal Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China

Corresponding Author:

  • Dongping Gao, PhD
  • Institute of Medical Information
  • Chinese Academy of Medical Sciences
  • Peking Union Medical College
  • No 3 Yabao Road
  • Chaoyang District
  • Beijing, 100020
  • China
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  • Email: gaodp_gaodp@126.com