CPRD Seminar: Clinical Practice Research Datalink for statistical and machine learning studies

CPRD is the leading data source of patient records from GP practices across the UK. It contains anonymous data collected over 30 years and is highly representative  of the UK population. It is a valuable resource for the application of statistical methods, computational epidemiology, machine learning, and artificial intelligence techniques.

Agenda

Opening remarks: Professor Aziz Sheikh

Introduction to CPRD and scenarios:  Mehrdad Mizani

Application of machine learning for survival analysis in CPRD data: a case study: Ahmar Shah

Feasibility count and ISAC protocol: Tony Wackett and Mome Mukherjee

This seminar will cover:

• A practical introduction to CPRD dataset.

• Case studies and scenarios for novel machine learning and artificial intelligence methods and CPRD.

• How to use the academic multi-study license available to all researchers affiliated with the University of Edinburgh.

• Demonstration of the feasibility count service.

• Tips for a successful CPRD data application

(i.e. ISAC protocol).

• The new competitive pricing model of CPRD data through an academic multi-study license.

Lunch will be provided. Taxis to NINE available.

Please register on eventbrite