J12 : Bits to Bedside: An Ingenious Exploration of Machine Learning in Triage Assessments


Students Bahaa Al Deen Alsaadi
Zena Alsaadi
School IND - Al-Falah Islamic School - Oakville
Level Intermediate 9/10 - Grade 10
Group Group 11 - Health Science IV
Abstract The purpose of this ingenious project is to utilize machine learning to aid in the long-term crisis of triage wait times (particularly in Canada) by using it to train a coded application that serves as a triage nurse alternative. The innovative application is meant to work alongside real nurses by assessing less urgent patients using the Canadian Triage and Acuity Scale through a user-friendly self-check-in kiosk.
Awards
Group Award Prize
Merit AwardsGold Merit Award$ 100
Canada-Wide Science Fair Trip AwardsCanada-Wide Science Fair Trip Award
Ola Lunyk-Child Memorial Health AwardsOla Lunyk-Child Memorial Health Science Award - Third$ 100