[HTML][HTML] Multi-Label classification in patient-doctor dialogues with the RoBERTa-WWM-ext+ CNN (robustly optimized bidirectional encoder representations from …
Y Sun, D Gao, X Shen, M Li, J Nan… - JMIR Medical …, 2022 - medinform.jmir.org
Background: With the prevalence of online consultation, many patient-doctor dialogues have
accumulated, which, in an authentic language environment, are of significant value to the …
accumulated, which, in an authentic language environment, are of significant value to the …
[HTML][HTML] Training a deep contextualized language model for international classification of diseases, 10th revision classification via federated learning: model …
Background: The automatic coding of clinical text documents by using the International
Classification of Diseases, 10th Revision (ICD-10) can be performed for statistical analyses …
Classification of Diseases, 10th Revision (ICD-10) can be performed for statistical analyses …
[HTML][HTML] A multilabel text classifier of cancer literature at the publication level: methods study of medical text classification
Y Zhang, X Li, Y Liu, A Li, X Yang… - JMIR Medical …, 2023 - medinform.jmir.org
Background: Given the threat posed by cancer to human health, there is a rapid growth in
the volume of data in the cancer field and interdisciplinary and collaborative research is …
the volume of data in the cancer field and interdisciplinary and collaborative research is …
[HTML][HTML] Chinese clinical named entity recognition from electronic medical records based on multisemantic features by using robustly optimized bidirectional encoder …
W Wang, X Li, H Ren, D Gao, A Fang - JMIR Medical Informatics, 2023 - medinform.jmir.org
Background Clinical electronic medical records (EMRs) contain important information on
patients' anatomy, symptoms, examinations, diagnoses, and medications. Large-scale …
patients' anatomy, symptoms, examinations, diagnoses, and medications. Large-scale …
[HTML][HTML] End-to-end models to imitate traditional Chinese medicine syndrome differentiation in lung cancer diagnosis: model development and validation
Z Liu, H He, S Yan, Y Wang, T Yang… - JMIR medical …, 2020 - medinform.jmir.org
Background Traditional Chinese medicine (TCM) has been shown to be an efficient mode to
manage advanced lung cancer, and accurate syndrome differentiation is crucial to …
manage advanced lung cancer, and accurate syndrome differentiation is crucial to …
[HTML][HTML] Fine-tuning bidirectional encoder representations from transformers (BERT)–based models on large-scale electronic health record notes: an empirical study
Background: The bidirectional encoder representations from transformers (BERT) model has
achieved great success in many natural language processing (NLP) tasks, such as named …
achieved great success in many natural language processing (NLP) tasks, such as named …
[HTML][HTML] Multi-level representation learning for Chinese medical entity recognition: Model development and validation
Z Zhang, L Zhu, P Yu - JMIR Medical Informatics, 2020 - medinform.jmir.org
Background Medical entity recognition is a key technology that supports the development of
smart medicine. Existing methods on English medical entity recognition have undergone …
smart medicine. Existing methods on English medical entity recognition have undergone …
[HTML][HTML] An attention model with transfer embeddings to classify pneumonia-related bilingual imaging reports: Algorithm development and validation
H Park, M Song, EB Lee, BK Seo… - JMIR Medical …, 2021 - medinform.jmir.org
Background In the analysis of electronic health records, proper labeling of outcomes is
mandatory. To obtain proper information from radiologic reports, several studies were …
mandatory. To obtain proper information from radiologic reports, several studies were …
[HTML][HTML] Automatic International Classification of Diseases coding system: Deep contextualized language model with rule-based approaches
PF Chen, KC Chen, WC Liao, F Lai, TL He… - JMIR Medical …, 2022 - medinform.jmir.org
Background: The tenth revision of the International Classification of Diseases (ICD-10) is
widely used for epidemiological research and health management. The clinical modification …
widely used for epidemiological research and health management. The clinical modification …
[PDF][PDF] NTCIR13 MedWeb Task: multi-label classification of tweets using an ensemble of neural networks.
H Iso, C Ruiz, T Murayama, K Taguchi, R Takeuchi… - NTCIR, 2017 - research.nii.ac.jp
This paper describes how we tackled the Medical Natural Language Processing for Web
Document (MedWeb) task as participants of NTCIR13. We utilized multi-language learning …
Document (MedWeb) task as participants of NTCIR13. We utilized multi-language learning …