Predictive modelling

Predictive modelling

Big data in healthcare

In this research we utilise a variety of big data sources for predictive modelling in a healthcare setting. Our research aims to

  • Develop a framework for classifying patients.
  • Develop predictive models to identify high-risk patients.
  • Develop predictive models for describing patient pathways through the healthcare system.
  • Research methods of producing information to help healthcare managers control costs.

View our projects in this theme below.

Surgical Outcome Calculator
Principal Investigator: Dr Douglas Campbell, Auckland DHB
Health Outcome Prediction Engine (HOPE)
Principal Investigator: Dr Peter Sandiford, Waitemata DHB
Deep Learning from EHR
Principal Investigator: Dr. Edmond Zhang, Reece Robinson, Prof. Bernhard Pfahringer