Neural natural language processing for unstructured data in electronic health records: a review
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
Natural language processing and artificial intelligence for enterprise management in the era of industry 4.0
Introduction: The advances in the digital era have necessitated the adoption of
communication as the main channel for modern business. In the past, business negotiations …
communication as the main channel for modern business. In the past, business negotiations …
[HTML][HTML] Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning
Y Zhao, M Hu, Y Jin, F Chen, X Wang, B Wang… - International Journal of …, 2023 - Elsevier
The outbreak and spread of COVID-19 remind us again of the devastating attack that human-
to-human transmitted respiratory infectious diseases (H-HRIDs) bring to global economics …
to-human transmitted respiratory infectious diseases (H-HRIDs) bring to global economics …
LitCovid in 2022: an information resource for the COVID-19 literature
Abstract LitCovid (https://www. ncbi. nlm. nih. gov/research/coronavirus/)—first launched in
February 2020—is a first-of-its-kind literature hub for tracking up-to-date published research …
February 2020—is a first-of-its-kind literature hub for tracking up-to-date published research …
The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges
The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Abstract The coronavirus disease 2019 (COVID-19) pandemic has been severely impacting
global society since December 2019. The related findings such as vaccine and drug …
global society since December 2019. The related findings such as vaccine and drug …
COVID-19 knowledge graph from semantic integration of biomedical literature and databases
The global response to the COVID-19 pandemic has led to a rapid increase of scientific
literature on this deadly disease. Extracting knowledge from biomedical literature and …
literature on this deadly disease. Extracting knowledge from biomedical literature and …
[HTML][HTML] Bioformer: an efficient transformer language model for biomedical text mining
Pretrained language models such as Bidirectional Encoder Representations from
Transformers (BERT) have achieved state-of-the-art performance in natural language …
Transformers (BERT) have achieved state-of-the-art performance in natural language …
A natural language processing (NLP) evaluation on COVID‐19 rumour dataset using deep learning techniques
Context and Background: Since December 2019, the coronavirus (COVID‐19) epidemic has
sparked considerable alarm among the general community and significantly affected …
sparked considerable alarm among the general community and significantly affected …