Neural natural language processing for unstructured data in electronic health records: a review

I Li, J Pan, J Goldwasser, N Verma, WP Wong… - Computer Science …, 2022 - Elsevier
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …

Natural language processing for smart healthcare

B Zhou, G Yang, Z Shi, S Ma - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Smart healthcare has achieved significant progress in recent years. Emerging artificial
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

PM Mah, I Skalna, J Muzam - Applied Sciences, 2022 - mdpi.com
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 …

[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) …

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 …

[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 …

[HTML][HTML] The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges

MA Al-Garadi, YC Yang, A Sarker - Healthcare, 2022 - mdpi.com
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 …

LitCovid in 2022: an information resource for the COVID-19 literature

Q Chen, A Allot, R Leaman, CH Wei… - Nucleic Acids …, 2023 - academic.oup.com
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 …

Bioformer: an efficient transformer language model for biomedical text mining

L Fang, Q Chen, CH Wei, Z Lu, K Wang - Ar** the Landscape of Misinformation Detection: A Bibliometric Approach
A Sandu, I Ioanăș, C Delcea, LM Geantă, LA Cotfas - Information, 2024 - mdpi.com
The proliferation of misinformation presents a significant challenge in today's information
landscape, impacting various aspects of society. While misinformation is often confused with …