Raed Mansour

Systematic Literature Review on the Spread of Health-related Misinformation on Social Media

COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data

Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?

Explainable machine learning for public policy: Use cases, gaps, and research directions

An integrated big data analytics-enabled transformation model: Application to health care

Deep Learning for Health Informatics

Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences

Social media analytics: analysis and visualisation of news diffusion using NodeXL

A review of existing and emerging digital technologies to combat the global trade in fake medicines

Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk

Utilization of text mining as a big data analysis tool for food science and nutrition

Contextualising the 2019 E-Cigarette Health Scare: Insights from Twitter

Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities

Food safety for food security: Relationship between global megatrends and developments in food safety

Twitter as a tool for citizen engagement: An empirical study of the Andalusian municipalities

Health department use of social media to identify foodborne illness - Chicago, Illinois, 2013-2014.

A Bright Future

Tweeting for and Against Public Health Policy: Response to the Chicago Department of Public Health's Electronic Cigarette Twitter Campaign

Validation of a Machine Learning Model to Predict Childhood Lead Poisoning