Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions

N Tyagi, B Bhushan - Wireless Personal Communications, 2023 - Springer
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …

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 …

Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set

R Catelli, F Gargiulo, V Casola, G De Pietro… - Applied soft …, 2020 - Elsevier
Abstract The COrona VIrus Disease 19 (COVID-19) pandemic required the work of all global
experts to tackle it. Despite the abundance of new studies, privacy laws prevent their …

Association between FIASMAs and Reduced Risk of Intubation or Death in Individuals Hospitalized for Severe COVID‐19: an observational multicenter study

N Hoertel, M Sánchez‐Rico, E Gulbins… - Clinical …, 2021 - Wiley Online Library
Several medications commonly used for a number of medical conditions share a property of
functional inhibition of acid sphingomyelinase (ASM), or FIASMA. Preclinical and clinical …

Attention-based deep entropy active learning using lexical algorithm for mental health treatment

U Ahmed, SK Mukhiya, G Srivastava, Y Lamo… - Frontiers in …, 2021 - frontiersin.org
With the increasing prevalence of Internet usage, Internet-Delivered Psychological
Treatment (IDPT) has become a valuable tool to develop improved treatments of mental …

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review

Y Guo, Y Zhang, T Lyu, M Prosperi… - Journal of the …, 2021 - academic.oup.com
Objective To summarize how artificial intelligence (AI) is being applied in COVID-19
research and determine whether these AI applications integrated heterogenous data from …

[HTML][HTML] EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment

U Ahmed, G Srivastava, U Yun, JCW Lin - Future Generation Computer …, 2022 - Elsevier
Abstract Internet-delivered Psychological Treatment (IDPT) has been shown to be an
effective method for improving psychological disorders. Natural language processing (NLP) …

Hyper-graph attention based federated learning methods for use in mental health detection

U Ahmed, JCW Lin, G Srivastava - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Internet-Delivered Psychological Treatment (IDPT) has become necessary in the medical
field. Deep neural networks (DNNs) require large, diverse patient populations to train …

Deep explainable hate speech active learning on social-media data

U Ahmed, JCW Lin - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
Hate speech is demonstrably aimed at social tension and violence. Detection becomes
increasingly difficult as overlapping emotional feelings occur. However, there are still …

The clinical information systems response to the COVID-19 pandemic

JJ Reeves, NM Pageler, EC Wick… - Yearbook of medical …, 2021 - thieme-connect.com
Objective: The year 2020 was predominated by the coronavirus disease 2019 (COVID-19)
pandemic. The objective of this article is to review the areas in which clinical information …