Skip to content
Location
Virtual
Series/Type
Dates
  • May 4, 2022 from 1:30pm to 4:00pm

The Dalla Lana School of Public Health’s Data Science Interdisciplinary Research Cluster brings together an interdisciplinary team to focus on the DLSPH priority area: “Using data sciences, artificial intelligence and emerging technologies in informatics and analytics to improve population health and health systems performance”.

Help us celebrate the six teams of interdisciplinary researchers who won seed funding from DLSPH to investigate new and emerging projects in data science and artificial intelligence.

FUNDED PROPOSALS – 2021-22 DATA SCIENCE SEED GRANTS

1. Using decision tree machine learning to identify worker movement typologies.

Presenter: Aviroop Biswas, Cynthia Chen

2. A multicentre database of patients hospitalized with diabetes in Ontario across 30 hospitals

Presenter: Michael Colacci

3. The evolution of potentially inappropriate prescribing in persons with dementia

Presenter: Abby Emdin, Susan E. Bronskill

4. Building Fair Machine Learning Models: Using Big Data to Explore Inequities in Risk Assessment at the Centre for Addiction and Mental Health

Presenter: Dr Laura Sikstrom, Dr Marta Maslej

5. ExplAIn 2 Kids: Engaging Children & Youth in Ar@ficial Intelligence in Pediatric Healthcare

Presenter: Melissa McCradden, Kelly Thai

6. A Predictive Model for the Presence of Occult Cancer in Family Practice Patients

Presenter: Steven Narod

Links