DEEP HEALTH HACKATHON
The amount of medical data that has been collected and saved over the past few decades, coupled with the recent advancement of Machine Learning and Artificial Intelligence presents an interesting question; how can we interpolate medical data using machine learning to produce useful insights? The Deep Health Hackathon aims to tackle that problem.
Over the course of 48 hours, participants of this hackathon will implement machine learning algorithms on medical data – provided by MedChart – to develop baselines as well as produce new insights into what this data is really telling us. Each team will be responsible for pitching their results to a panel of judges, where a winning team will be selected.
TEAM FORMATION
Teams may range in size from 3-6 people and may have members from different Ontario Universities; you may come with a team, however it is highly recommended that you form multidisciplinary teams. Slack channels will be available for those looking to join a team, or looking to find additional members. Sign up fee is charged per person.
PRIZES
The top three teams will be presented with the opportunity to join the 2017 Cohort with the Hatchery.* An additional $500 dollars will be rewarded to the top team courtesy of General Electric.
DATES (Location to be announced!)
Friday, February 11th, 6:00pm: Machine Learning Seminar (Not mandatory)
This seminar will include a keynote speech describing the problem at hand, as well as provide a tutorial practice problem building up to the hackathon its self.
Friday, February 17th: Hackathon Kickoff
The kickoff will begin with a keynote from Matthew Wells, Leader of GE Digital in Canada. Following the speech, participants will begin forming multidisciplinary teams and start their projects. Drinks will be provided by Red Bull!
Saturday, February 18th: Hacking day
Teams will work on their projects with mentorship from industry leaders. Drinks will be provided by Red Bull!
Sunday, February 19th
Teams will continue hacking, and pitch their results to a panel of judges!
*teams looking to be a part of the Hatchery must have at least 2 members from the University of Toronto