Automatic identification of high impact articles in PubMed to support clinical decision making
Abstract
The practice of evidence-based medicine involves integrating the latest best available evidence into patient care decisions. Yet, critical barriers exist for clinicians’ retrieval of evidence that is relevant for a particular patient from primary sources such as randomized controlled trials and meta-analyses. To help address those barriers, we investigated machine learning algorithms that find clinical studies with high clinical impact from...
Paper Details
Title
Automatic identification of high impact articles in PubMed to support clinical decision making
Published Date
Sep 1, 2017
Volume
73
Pages
95 - 103
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