End-to-end pseudonymization of fine-tuned clinical BERT models: Privacy preservation with maintained data utility
Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained
language models (PLMs). These models consist of large amounts of parameters that are …
language models (PLMs). These models consist of large amounts of parameters that are …
HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage Research
J Li, Y Xia, T Yang, F Cai, M Wei, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce a new multimodal dataset in the medical field of hypertensive
intracerebral hemorrhage (HICH), called as HICH-IT, which includes both textual information …
intracerebral hemorrhage (HICH), called as HICH-IT, which includes both textual information …
Chinese medical named entity recognition based on feature fusion and multihead biaffine transformations
Z Wang, N Yolwas - Third International Symposium on …, 2024 - spiedigitallibrary.org
Medical Named Entity Recognition (NER) plays a crucial role in enhancing the efficiency of
clinical work. Currently, Chinese Named Entity Recognition methods based on deep …
clinical work. Currently, Chinese Named Entity Recognition methods based on deep …