Machine Learning Synergy

Aim: Learn and observe the scope of research activities at BMC within Youth Mental Health Technology team and contribute when possible at the University of Sydney. Participate in collaborative research activities related to Project Synergy between the University of British Columbia and The University of Sydney. This research aims to assist in the creation of a predictive model that can be embedded in a clinical decision support system to address risky behaviour among people who inject drugs (PWID). The different techniques, methodology, and approach will be learned from an existing service in project synergy from the University of Sydney. The completed tool can assist decision-making from doctors, nurses and healthcare workers on the front line to identify and personalize treatment trajectories for the vulnerable drug-using population in British Columbia.
The applicant’s objective is to compare a predictive model based on Artificial Intelligence (AI) techniques which will use Machine learning (ML) algorithms with existing models from the University of Sydney’s Project Synergy.

Faculty Supervisor:

Michael Krausz

Student:

Partner:

The University of Sydney

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program: