Novel quantitative methods that enhance clinical decision support based on routine pathology testing

Page last updated: 13 February 2017

The aim of this project was to identify relationships between existing routine clinical chemistry and haematology tests to second tier tests, which will ultimately reduce the need for additional special tests. This was completed using sophisticated computational knowledge discovery methods (pattern recognition). The results and analyses presented herein focus particularly on prediction. Specifically, how routine pathology data can be used to anticipate the outcome of a specialised second tier test, which potentially represents significant savings on time, cost and patient anxiety.

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