Using Bayesian Learning paradigms to enhance the clinical utility of an AI decision support tool for mental illness.

The Machine Learning team at Aifred Health is aiming to improve the performance of their core decision support models and the intern will assist in the development of a system that will intelligently iterate across dozens of unique model configurations to find the best performing one by leveraging previous configurations and their performance outcomes. The intern will also work on building a prototype of a model that takes advantage of longitudinal data to assess patient response trajectories so that a doctor can have a higher resolution view into whether the patient is getting better or rapidly degrading and needs to take action, thereby increasing the chances of remission. This work will ultimately help accelerate us in our mission to bring better mental healthcare to all.

Faculty Supervisor:

Jean-Jules Brault

Student:

Partner:

Aifred Health Inc

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Information and cultural industries; Professional, scientific and technical services

University:

Polytechnique Montréal

Program: