Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Environmental risk factors have been implicated in adverse health effects. Previous
epidemiological studies on environmental risk factors mainly analyzed the impact of single …

Objective To examine risk perceptions and behavioural responses of the UK adult
population during the early phase of the COVID-19 epidemic in the UK. Design A cross …

Increased interest in the opportunities provided by artificial intelligence and machine
learning has spawned a new field of health-care research. The new tools under …

Smartphone use can lead to smartphone addiction, which is a growing concern worldwide.
However, there are limited studies about smartphone addiction and its impacts on university …

Agreement between measurements refers to the degree of concordance between two (or
more) sets of measurements. Statistical methods to test agreement are used to assess inter …

Brazil is, at the time of writing, the global epicenter of COVID-19, but information on risk
factors for hospitalization and mortality in the country is still limited. Demographic and …

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential
ideas behind all key algorithms and techniques for data mining and machine learning, along …

To predict the class level of any classification problem, predictive models are used and
mostly a single predictive model is built to predict the class level of any classification …

Within the framework of digital sustainability, the increase in Internet consumption, and
especially online social networks, offers social benefits, but is not without its drawbacks. For …