A review of social media data utilization for the prediction of disease outbreaks and understanding public perception
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 …
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
Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …
in locating specialized clinics based on their symptom descriptions. This can enhance …
Designing multimodal interactive dashboard of disaster management systems
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 …
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
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 …
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
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 …
as of 2023) containing about 500,000 original Arabic COVID-19-related tweets from January …
Enhanced Arabic disaster data classification using domain adaptation
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 …
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
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 …
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 …
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 …
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