This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

Relatively few interactive narrative-based systems support storytelling as an activity that takes place between children and their parents or guardians. This project is the initial foundation HCI research to explore and prototype tools and methodologies as contribution to the development of an innovative collaborative online storytelling application – The Kids Book Company. This is an […]

In healthcare, communication and clear roles and responsibilities are critical in delivering care to patients. This is difficult to achieve in the best of times; during pandemics and mass casualty events, communication is the first thing to fail, leading to inefficiency, confusion, and ultimately harm to patients. This project aims to develop an automated system […]

Submitted without Project overview, exception was approved by Deanna on Wed 23/05/2012 8:03 AM.

The project aims to research and develop the most effective way for making COVID 19 guidelines into measurable actions for organizations. This research will enhance Diversio’s Audit tool in two parallel tracks: 1) Methodology for developing sector- and region-specific compliance surveys, translating those survey responses into a scoring methodology, and 2) Technology for automating the […]

Numerous studies in the application of Machine Learning to mental health have demonstrated a range of benefits in the areas of diagnosis, treatment and support, research, and clinical administration. COVID-19 is an unprecedented health crisis causing a great deal of stress in populations in Canada. In this project, our aim is to apply practical machine […]

Contagious diseases, such as SARS and COVID-19, bring a large amount of damage to human’s life and world economy. Pathogens spread among individuals through the contact network. It is observed that most social networks show a power-law degree distribution, implying that hubs exist in these networks. Finding underlying super-spreaders (hubs) and isolating or immunizing them […]

The Centre for Global eHealth Innovation (UHN) is leading the development of a mobile web application for asthma self-management on behalf of Ontario Lung Association, in a project funded by Canada Health Infoway. The internship will involve the research and development of the user-interface of this novel application, which can be accessed by users via […]

A critical step in the fight against COVID-19 is effective screening of infected patients for infection detection and risk assessment. While viral testing such as rt-PCR is the gold standard for infection detection as it is highly specific, it is moderately sensitive and is a very time-consuming, laborious, and complicated manual process that is in […]

In healthcare, communication and clear roles and responsibilities are critical in delivering care to patients. This is difficult to achieve in the best of times; during pandemics and mass casualty events, communication is the first thing to fail, leading to inefficiency, confusion, and ultimately harm to patients. This project aims to develop an automated system […]

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. In this project we are interested to investigate and develop a system for enhancement of automatic recognition and classification of human blood images. Smart tools for medical applications have high importance and increasing […]

We are building a machine learning system to help clinical experts accurately label medical notes with diagnosis codes. This will make it faster and cheaper to train machine learning models to identify important codes, including those related to infectious diseases and COVID, in large amounts of medical notes.