Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
The Covenant Health organization has revised to nearly 500,000 the number of individuals affected by a data breach discovered ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: Social media is a pivotal aspect of modern communication, influencing how individuals connect, share, and engage. This study investigates its effects on mental well-being through the ...
ThoughtSpot is at the heart of new 'modern data stack' helping UK food brand Huel find answers more quickly than it used to with Business Intelligence Huel, a privately held UK food brand that's all ...
Nearly a third of US teenagers say they use AI chatbots daily, a new study finds, shedding light on how young people are embracing a technology that’s raised critical safety concerns around mental ...
Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...
Add a description, image, and links to the covid19-data-analysis topic page so that developers can more easily learn about it.
Using the right iPhone 17 tips allows both the iPhone 17 and iPhone Air to reach their full potential, especially with the new upgrades introduced in iOS 19. Apple's updated system brings smarter ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback