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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 …
[HTML][HTML] 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] Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness
A Ankolekar, L Ep**s, F Bottari, IF Pinho… - Computational and …, 2024 - Elsevier
In anticipation of potential future pandemics, we examined the challenges and opportunities
presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) …
presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) …
Natural language processing
SC Fanni, M Febi, G Aghakhanyan, E Neri - Introduction to artificial …, 2023 - Springer
Natural language processing (NLP) stands halfway between computer science
computational linguistics, and it is dedicated to the conversion of written and spoken natural …
computational linguistics, and it is dedicated to the conversion of written and spoken natural …
[HTML][HTML] Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning
Y Zhao, M Hu, Y **, 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 …
[HTML][HTML] 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 …
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 …