A review of social media data utilization for the prediction of disease outbreaks and understanding public perception

A Wang, R Dara, S Yousefinaghani, E Maier… - Big Data and Cognitive …, 2023 - mdpi.com
Infectious diseases take a large toll on the global population, not only through risks of illness
but also through economic burdens and lifestyle changes. With both emerging and re …

A robust classification approach to enhance clinic identification from Arabic health text

S Al-Fuqaha'a, N Al-Madi, B Hammo - Neural Computing and Applications, 2024 - Springer
Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …

Designing multimodal interactive dashboard of disaster management systems

A AlAbdulaali, A Asif, S Khatoon, M Alshamari - Sensors, 2022 - mdpi.com
Disasters and crises are inevitable in this world. In the aftermath of a disaster, a society's
overall growth, resources, and economy are greatly affected as they cause damages from …

[HTML][HTML] Influenza-like illness detection from Arabic Facebook posts based on sentiment analysis and 1D convolutional neural network

A Boulesnane, S Meshoul, K Aouissi - Mathematics, 2022 - mdpi.com
The recent large outbreak of infectious diseases, such as influenza-like illnesses and COVID-
19, has resulted in a flood of health-related posts on the Internet in general and on social …

AROT-COV23: A dataset of 500k original arabic tweets on COVID-19

C Xu, N Yan - 4th Workshop on African Natural Language …, 2023 - openreview.net
This paper presents a dataset called AROT-COV23 (ARabic Original Tweets on COVID-19
as of 2023) containing about 500,000 original Arabic COVID-19-related tweets from January …

Enhanced Arabic disaster data classification using domain adaptation

AM Moussa, S Abdou, KM Elsayed, M Rashwan… - PLoS one, 2024 - journals.plos.org
Natural disasters, like pandemics and earthquakes, are some of the main causes of distress
and casualties. Governmental crisis management processes are crucial when dealing with …

Automatic Classification of Eyewitness Messages for Disaster Events Using Linguistic Rules and ML/AI Approaches

S Haider, A Mahmood, S Khatoon, M Alshamari… - Applied Sciences, 2022 - mdpi.com
Emergency response systems require precise and accurate information about an incident to
respond accordingly. An eyewitness report is one of the sources of such information. The …

Special Issue “Fighting COVID-19: Emerging Techniques and Aid Systems for Prevention, Forecasting and Diagnosis”

M Domínguez-Morales, A Civit - Applied Sciences, 2022 - mdpi.com
Since its emergence at the end of 2019, the pandemic caused by the COVID-19 virus has
led to multiple changes in health protocols around the world. This event has also given a …

Empirical Analysis of Depression Detection Using Deep Learning on Twitter

A Jaiswal, P Porwal, A Singh, P Kumari… - … Conference on Data …, 2023 - Springer
People spend a major portion of their time from their daily routine over social media
platforms. Many researchers have previously attempted to examine the mental status of the …

[引用][C] Fighting COVID-19: emerging techniques and aid systems for prevention, forecasting and diagnosis

MJ Domínguez Morales, A Civit Balcells - … Sciences, 13 (1), Article number 467 …, 2023 - MDPI