Published on: 16th April 2018
02 - 03 May 2018
9.30am - 4.00pm
Data Science Building, Singleton Park Campus, Swansea University
The workshop is a two-day event, which will be held on Wednesday 2nd & Thursday 3rd May at the Data Science Building, Singleton Park Campus, Swansea University. Attendance is required by delegates on both days for all sessions wishing to attend. The workshop will be delivered by Dr Angus Roberts, Senior Lecturer in Health Informatics, King’s College London.
The secondary use of Electronic Health Records (EHRs) has transformative potential for how healthcare research is conducted, yielding new possibilities in areas of business intelligence, observational research, clinical trial recruitment and decision support. However, as much as 80% of the data in the EHR are known to be locked in the form of unstructured text, making this information ‘invisible’ for standard analysis techniques.
This workshop will provide an introduction to the field of clinical natural language processing (NLP), from its origins before the advent of ‘Big Data’, to the current state of the art, comprising information extraction algorithms processing millions of documents on large compute clusters and clouds. In addition, this course will convey an appreciation of the complexity that different NLP problems pose, via a series of talks and practical sessions. For individuals wishing to partake in practical sessions, some basic programming experience is recommended.
The workshop will be delivered in both a classroom and PC lab environment, with all materials provided to delegates. Whilst parking is available on and off campus, this is not something which organisers will be able to arrange, so delegates will be expected to complete this individually.
Who should attend?
The workshop is tailored towards researchers who are keen to learn or enhance their knowledge of natural language processing (NLP), and the associated practical tools that involves:
• Although not essential, participants with basic programming skills, preferably Java or Python, will get more from practical exercises.
• Participants are advised to do a short (approximately one hour) computer based preparatory exercise prior to the course.
The workshop is being delivered at no cost to delegates, but a cancellation fee may be charged if attendees fail to attend.
How to book
There will be limited places for the workshop available, if you are interested in more information or attending, please email Sarah Toomey on email@example.com confirming your interest by no later than 11am on Friday 20th April (also please can you confirm if you have any special or dietary requirements).