In today's health care environment,the amount of electronically available clinical pathology data has grown as hospital information systems become more commonplace. These huge data stores can provide the basis for analyzing risk factors for many diseases. We are particularly interested in applying data mining techniques to clinical pathology databases to discover new numerical rules that will identify small groups in the population that are at high relative risk of certain diseases assocated with viral infection. Once rules have been discovered, they can be used to develop a system of electronic alerts that will identify patterns of pathology results that place a patient at a high relative risk of a viral illness. A secondary thrust of the project is to enrich the established and thriving research programme in human virology/viral pathogenesis.
|Short title||Knowledge of discovery in hospital pathology datab|
|Effective start/end date||10/01/07 → 10/01/07|