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

Journals

  1. Khan A, Ali R. Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media. Social Network Analysis and Mining 2024;14(1) View
  2. Yan Y, Edwards B, Sanmugam M. Scientometric analysis of emerging trends and research landscape of ERNIE Bot's potentials as an educational tool: A mixed method study of a large language model. Social Sciences & Humanities Open 2025;12:101729 View

Books/Policy Documents

  1. M. S, B. A. Generative Artificial Intelligence and Ethics. View

Conference Proceedings

  1. Roy P, Alam Riad M, Akter L, Hasan N, Shuvo M, Quader M, Quader M, Anwar A. 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE). BiLSTM Models with and Without Pretrained Embeddings and BERT on German Patient Reviews View