NOTE: REGISTRATION FOR THE WORKSHOP IS NOW CLOSED
An interactive workshop valued at more than $500 is included in your registration! Sponsored and led by the Alberta Machine Intelligence Institute (Amii), the workshop will provide attendees with an understanding of artificial intelligence and machine learning in the real world. No prior knowledge in coding or programming is needed. Attendees will also have the opportunity to learn about how Amii researchers use machine learning to aid in the diagnosis of mental health disorders. Principal Researcher Sunil Kalmady and Amii Research Fellow Russ Greiner will give a short presentation on their work and answer any questions you may have. Below is an abstract of the study they will speak on.
Learning to Diagnose & Treat Psychiatric Disorders from fMRI and other Data
by Russell Greiner, Sunil Kalmady
An effective patient-specific treatment model identifies which treatment has the best chance of success for each individual patient, based on all available information about that patient. This presentation describes the task of learning such models – in general, a learned combination of many features that collectively predict the outcome – from a labeled dataset describing earlier patients, and their outcomes. It introduces the relevant ideas using real-world medical examples — here relating to diagnosing and treating psychiatric disorders (ADHD, schizophrenia and OCD) — and explains how this machine-learning approach differs from the task of finding individual biomarkers.
IMPORTANT: In order to take part in the Amii workshop, you must register for the symposium by October 20. Please note that participation in the workshop is not guaranteed if you register after this date.