%0 Journal Article
%T Discovering Sequential Patterns in a UK General Practice Database
%A Jenna Reps
%A Jonathan M. Garibaldi
%A Uwe Aickelin
%A Daniele Soria
%A Jack E. Gibson
%A Richard B. Hubbard
%J Computer Science
%D 2013
%I arXiv
%X The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be able to predict illnesses that a patient is likely to develop, allowing the implementation of preventative actions. In this paper sequential rule mining is applied to a General Practice database to find rules involving a patients age, gender and medical history. By incorporating these rules into current health-care a patient can be highlighted as susceptible to a future illness based on past or current illnesses, gender and year of birth. This knowledge has the ability to greatly improve health-care and reduce health-care costs.
%U http://arxiv.org/abs/1307.1411v1