Preparing a systematic review can take hundreds of hours to complete, but the process of
reconciling different results from multiple studies is the bedrock of evidence-based medicine …

Authors of biomedical articles use comparison sentences to communicate the findings of a
study, and to compare the results of the current study with earlier studies. The Claim …

Objective To determine whether SVM-based classifiers, which are trained on a combination
of inclusion and common exclusion articles, are useful to experts reviewing journal articles …

Background Evidence-based medicine requires synthesis of research through rigorous and
time-intensive systematic literature reviews (SLRs), with significant resource expenditure for …

Objectives Evidence-based medicine depends on the timely synthesis of research findings.
An important source of synthesized evidence resides in systematic reviews. However, a …

Systematic reviews require expert reviewers to manually screen thousands of citations in
order to identify all relevant articles to the review. Active learning text classification is a …

Background Automation of the parts of systematic review process, specifically the data
extraction step, may be an important strategy to reduce the time necessary to complete a …

Randomized controlled trials are an important source of evidence for guiding clinical
decisions when treating a patient. However, given the large number of studies and their …

Objective: To determine whether automated classification of document citations can be
useful in reducing the time spent by experts reviewing journal articles for inclusion in …

Background Meta-analyses aggregate results of different clinical studies to assess the
effectiveness of a treatment. Despite their importance, meta-analyses are time-consuming …