This workshop has two aims: to present the state of the art in processing free-text in veterinary electronic health records, and to establish a special interest group that will work together on improving the capabilities for making sense of veterinary free-text. The event follows the discussions at the Farr@Vet inaugural meeting (April 2016).
The event, to be held in Nottingham, is co-organised by the Centre for Evidence-based Veterinary Medicine @ Nottingham, SAVSNET and Healtex.
|Activity/ Talk title||Speaker|
|09.30||Arrivals and Coffee|
|10.00||Welcome / housekeeping/ introductions||Hannah Doit (University of Nottingham)|
|10.15||SAVSNET text mining, Unlocking the veterinary clinical narrative||PJ Noble (SAVSNET)|
|10.40||Text-mining bootcamp: Learning by doing, consolidating by sharing||Jenny Newman and Daniel Smith (SAVSNET)|
|10.55||Lessons learned from human clinical text analytics||Goran Nenadic (University of Manchester)|
|11.30||TBC||Fabio Rinaldi (University of Zurich)|
|11.55||Text mining the Electronic Medical Record with Wordstat and R.||Marco Duz (University of Nottingham)|
|12.15||Veterinary Clinical Trials Network data||Hannah Doit (University of Nottingham)|
|13.15||Lunch and networking|
|14.15||GI disease in the Dogslife cohort||Charlotte Wooley (University of Edinburgh)|
|14.30||TBC||Jane Murray (University of Bristol)|
|15.45||Wrap up and finish|