Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence.

Evidence synthesis is a key element of evidence-based medicine. However, it is currently hampered by being labour intensive meaning that many trials are not incorporated into robust evidence syntheses and that many are out of date. To overcome this, a variety of techniques are being explored, including using automation technology.

Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials.

In this paper, an identification approach for the Population (e.g. patients with headache), the Intervention (e.