March 2, feature. When scientists carry out research on a given topic, they often start by reviewing previous study findings. Conducting systematic literature reviews or meta-analyses can be very challenging and time consuming, as there are often huge amounts of research focusing on different topics, which may not always be relevant to a researcher's work. Researchers at Utrecht University have recently developed a machine learning framework that could significantly speed up this process, by automatically browsing through numerous past studies and compiling high quality literature reviews. Those systematic ways of reading literature, called systematic reviews, often lead to impactful scientific publications because they are exhaustive summaries of current evidence. Professor Rens van de Schoot, one of the researchers who developed ASReview, has carried out several literature reviews throughout his academic career and he was thus well aware of how time consuming the review process can be.
How to write a literature review
Critical Appraisal Tools - Literature Reviews - LibGuides at Rush University Medical Center
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Systematic Reviews volume 8 , Article number: Cite this article. Metrics details. Technologies and methods to speed up the production of systematic reviews by reducing the manual labour involved have recently emerged. Automation has been proposed or used to expedite most steps of the systematic review process, including search, screening, and data extraction. However, how these technologies work in practice and when and when not to use them is often not clear to practitioners.
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