Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …

Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Background: In the first few months of 2020, information and news reports about the
coronavirus disease (COVID-19) were rapidly published and shared on social media and …

Internet data are being increasingly integrated into health informatics research and are
becoming a useful tool for exploring human behavior. The most popular tool for examining …

Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …

Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …

Advancements in novel neurotechnologies, such as brain computer interfaces (BCI) and
neuromodulatory devices such as deep brain stimulators (DBS), will have profound …

Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Background Web-based sources are increasingly employed in the analysis, detection, and
forecasting of diseases and epidemics, and in predicting human behavior toward several …