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

Natural Language Processing (706) Machine Learning (1501) Clinical Informatics (1050) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Ontologies, Classifications, and Coding (243) Artificial Intelligence (1421) Imaging Informatics (200)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24803, first published .
An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation

An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation

An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation

Authors of this article:

Hyung Park1 Author Orcid Image ;   Min Song2 Author Orcid Image ;   Eun Byul Lee2 Author Orcid Image ;   Bo Kyung Seo2 Author Orcid Image ;   Chang Min Choi1, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

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  1. Ma H, Dong Z, Chen M, Sheng W, Li Y, Zhang W, Zhang S, Yu Y. A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data. Journal of Biomedical Informatics 2022;134:104210 View
  2. Gu K, Lee J, Shin J, Hwang J, Min J, Jeong W, Lee M, Song K, Bae S. Using GPT‐4 for LI‐RADS feature extraction and categorization with multilingual free‐text reports. Liver International 2024;44(7):1578 View
  3. Park H, Huh J, Chae G, Choi M, Grewal H. Extraction of clinical data on major pulmonary diseases from unstructured radiologic reports using a large language model. PLOS ONE 2024;19(11):e0314136 View