Pre-trained language models in medicine: A survey
With the rapid progress in Natural Language Processing (NLP), Pre-trained Language
Models (PLM) such as BERT, BioBERT, and ChatGPT have shown great potential in various …
Models (PLM) such as BERT, BioBERT, and ChatGPT have shown great potential in various …
[HTML][HTML] Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning
Clinical text and documents contain very rich information and knowledge in healthcare, and
their processing using state-of-the-art language technology becomes very important for …
their processing using state-of-the-art language technology becomes very important for …
Investigating massive multilingual pre-trained machine translation models for clinical domain via transfer learning
Massively multilingual pre-trained language models (MMPLMs) are developed in recent
years demonstrating superpowers and the pre-knowledge they acquire for downstream …
years demonstrating superpowers and the pre-knowledge they acquire for downstream …
Review of Deep Learning Models for Remote Healthcare
This review article delves into the transformative role of deep learning in remote healthcare,
highlighting its potential to enhance diagnostic accuracy, patient monitoring, and …
highlighting its potential to enhance diagnostic accuracy, patient monitoring, and …
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models
Clinical texts, represented in electronic medical records (EMRs), contain rich medical
information and are essential for disease prediction, personalised information …
information and are essential for disease prediction, personalised information …
Medmine: Examining pre-trained language models on medication mining
Automatic medication mining from clinical and biomedical text has become a popular topic
due to its real impact on healthcare applications and the recent development of powerful …
due to its real impact on healthcare applications and the recent development of powerful …
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It
Pre-trained language models (PLMs) often take advantage of the monolingual and
multilingual dataset that is freely available online to acquire general or mixed domain …
multilingual dataset that is freely available online to acquire general or mixed domain …
Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints
LL Oliveira, X Jiang, AN Babu, P Karajagi… - Forecasting, 2024 - mdpi.com
Early identification of acute gout is crucial, enabling healthcare professionals to implement
targeted interventions for rapid pain relief and preventing disease progression, ensuring …
targeted interventions for rapid pain relief and preventing disease progression, ensuring …
Extraction of Medication and Temporal Relation from Clinical Text by Harnessing Different Deep Learning Models
Clinical texts, represented in electronic medical records (EMRs), contain rich medical
information and are essential for disease prediction, personalised information …
information and are essential for disease prediction, personalised information …
Effective Natural Language Processing Algorithms for Gout Flare Early Alert from Chief Complaints
LL Oliveira, AN Babu, X Jiang, P Karajagi… - medRxiv, 2023 - medrxiv.org
Early identification of acute gout is crucial, enabling healthcare professionals to implement
targeted interventions for rapid pain relief and preventing disease progression, ensuring …
targeted interventions for rapid pain relief and preventing disease progression, ensuring …