School of Science, Engineering and Information Technology

Scoring system generation and validation

Project Title:

Scoring system generation and validation


Andrew Stranieri, Dean Webb, Giles Oatley and Sasha Ivkovic

Contact Person:

Andrew Stranieri

Project Brief:

Scoring systems (such as the Glasgow Coma Scale, AusDrisk Diabetes Risk) are prevalent in clinical practice because they are easy and quick to use however, most scoring systems use many variables and scores require some time to calculate. Further, expensive population-wide studies are required to validate the scoring system. This program of research aims to build data mining algorithms to generate and validate scoring systems from data, increasingly available in electronic records