Analysis of insider threats in the healthcare industry: A text mining approach

I Lee - Information, 2022 - mdpi.com
To address rapidly growing data breach incidents effectively, healthcare providers need to
identify various insider and outsider threats, analyze the vulnerabilities of their internal …

Healthcare sustainability: hospitalization rate forecasting with transfer learning and location-aware news analysis

J Chen, GG Creamer, Y Ning, T Ben-Zvi - Sustainability, 2023 - mdpi.com
Monitoring and forecasting hospitalization rates are of essential significance to public health
systems in understanding and managing overall healthcare deliveries and strategizing long …

Analyzing web descriptions of cybersecurity breaches in the healthcare provider sector: A content analytics research method

I Lee - Computers & Security, 2023 - Elsevier
Though the ever-increasing data breach incidents in healthcare providers are exposing their
clients' personal, financial, and medical data to cybercriminals, there is limited empirical …

[HTML][HTML] Will the relaxation of COVID-19 control measures have an impact on the Chinese internet-using public? Social media-based topic and sentiment analysis

Y Xin, X Tan, X Ren - International Journal of Public Health, 2023 - ssph-journal.org
Objective: In December 2022, the Chinese government announced the further optimization
of the implementation of the prevention and control measures of COVID-19. We aimed to …

A New Social Media Analytics Method for Identifying Factors Contributing to COVID-19 Discussion Topics

F Sufi - Information, 2023 - mdpi.com
Since the onset of the COVID-19 crisis, scholarly investigations and policy formulation have
harnessed the potent capabilities of artificial intelligence (AI)-driven social media analytics …

Comparative study of consumer purchasing and decision pattern analysis using pincer search based data mining method

M Bhargavi, A Sinha, J Desai, N Garg… - 2022 13th …, 2022 - ieeexplore.ieee.org
Big data analysis is now widely used as a result of the Internet's quick development.
Researchers have focused a lot of attention on data mining because it is essential for …

The Conversation around COVID-19 on Twitter—Sentiment Analysis and Topic Modelling to Analyse Tweets Published in English during the First Wave of the …

JJ Amores, D Blanco-Herrero, C Arcila-Calderón - Journalism and Media, 2023 - mdpi.com
The COVID-19 pandemic disrupted societies all over the world. In an interconnected and
digital global society, social media was the platform not only to convey information and …

Sentiment Analysis using Improved Atom Search Optimizer with a Simulated Annealing and ReLU based Gated Recurrent Unit

N Jacob, VM Viswanatham - IEEE Access, 2024 - ieeexplore.ieee.org
Social media has become an indispensable part of our daily lives in recent times. On social
media, users commonly express their thoughts and opinions by sharing a substantial …

Consumer Buying Behavior Analysis During COVID-19 Phase Using Statistical Data Mining and Multi-verse Stochastic Algorithm

A Sinha, M Bhargavi, NK Singh, D Narayan… - … Conference on Recent …, 2022 - Springer
COVID-19 has changed particularly the marketing and retail sectors, the epidemic has
changed peoples' habits. Analyzing client purchase patterns and flows is a common use for …

Leveraging Topic Modelling to Analyze Biomedical Research Trends from the PubMed Database Using LDA Method

Y Pamungkas - Jurnal Sisfokom (Sistem Informasi dan …, 2024 - jurnal.atmaluhur.ac.id
Biomedical research has become an essential entity in human life. However, finding trends
related to research topics in the health sector contained in the repository is a challenging …