Abstract Context Systematic Literature Review (SLR) studies aim to identify relevant primary
papers, extract the required data, analyze, and synthesize results to gain further and broader …

This research aims at providing an overview of the research field of digital literacy into
learning and education. Using text mining, it reviews 1037 research articles published on …

Abstract Machine learning is a branch of computer science that has the potential to transform
epidemiologic sciences. Amid a growing focus on “Big Data,” it offers epidemiologists new …

Objective This review aimed to determine if the use of the patient, intervention, comparison,
outcome (PICO) model as a search strategy tool affects the quality of a literature search …

Background Qualitative systematic reviews or qualitative evidence syntheses (QES) are
increasingly recognised as a way to enhance the value of systematic reviews (SRs) of …

Systematic reviews and systematic maps represent powerful tools to identify, collect,
evaluate and summarise primary research pertinent to a specific research question or topic …

Abstract Machine learning (ML) offers robust statistical and probabilistic techniques that can
help to make sense of large amounts of data. This sco** review paper aims to broadly …

Whether you are an undergraduate or postgraduate student, an established academic or a
professional practitioner, you will, no doubt, have had to write a 'literature review'at some …

Background The large and growing number of published studies, and their increasing rate of
publication, makes the task of identifying relevant studies in an unbiased way for inclusion in …

New approaches to evidence synthesis, which use human effort and machine automation in
mutually reinforcing ways, can enhance the feasibility and sustainability of living systematic …