This paper is in the following e-collection/theme issue:

Machine Learning (1370) Clinical Informatics (904) Natural Language Processing (636)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17787, first published .
Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Authors of this article:

Yen-Pin Chen1, 2, 3 Author Orcid Image ;   Yi-Ying Chen3 Author Orcid Image ;   Jr-Jiun Lin3 Author Orcid Image ;   Chien-Hua Huang3, 4 Author Orcid Image ;   Feipei Lai1, 5, 6 Author Orcid Image
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