Search
Now showing items 1-2 of 2
Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series
(2017-03-13)
The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ...
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
(Oxford University Press (OUP), 2017-08-18)
Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ...