In 2011, the City of London started developing a cultural resource database and mapping capability to provide a calculation of the economic impact of culture in the city and an assessment London’s cultural facilities infrastructure, with focus on tangible cultural resources. Although potentially more valuable than the tangible cultural assets, intangible cultural resources have not […]

Health economic evaluation compares the associated costs and the clinical outcomes of multiple treatment alternatives and is presently used by payers as one of the many types of evidence to inform which drugs to fund. Given existing health-care budgetary constraints, payers are increasingly interested in knowing whether a new health technology will provide value (i.e. […]

Despite advancement in asbestos education and knowledge, there remains a shortcoming in area of management of asbestos exposure, which results in human health impact. This shortcoming was documented in a study carried out in Minneapolis, Minnesota (Alexander et al 2012). Alexander and colleagues examined the population exposed to asbestos and looked into evidence of lung […]

The Guided Therapeutics (GTx) Core of the Techna Institute is developing innovative imaging technology and therapeutic approaches, and translating those advances to commercial and clinical applications. Working with our industrial partners Precision X-Ray and Elekta, the Mitacs-supported interns will develop new capabilities and tools for preclinical image-guided radiation therapy devices and radiosurgical techniques. With Precision […]

This project focuses on identifying models of care that improve patient outcomes while reducing costs on the system. The project, in partnership with a large pharmaceutical company, evaluates the economic burden of Alzheimer’s in Ontario, looking at the current utilization, costs and scope of home care services, the gaps in service, the reliance on alternative […]

A quantitative risk prediction model is to be constructed. We need to determine if the available data will fit an existing model and validate the results or if a new statistical model is required. Each case will be allocated into one of three categories (low, moderate and high risk). This stratification must have clinical validity […]

While the use of specific drugs including cannabis cocaine, ecstasy, and heroin by youth 15-24 in Canada decreased in 2011 (Health Canada), the rate of drug use by youth 15-24 years of age remains much higher compared to that of adults 25 years and older.  (Health Canada).  Early intervention and education for youth has been […]

The objective of this project is to create a set of innovative business intelligence tools to enhance advanced data mining and data visualization capabilities of the Perspective PPM 2000 software system. The Perspective software is an incident management system that facilitates corporate incident data collection, reporting, analysis and management. Incident data is a post-event record […]

Different from traditional online advertising, dynamic media campaigns show different impressions (visitors to a web page) with different advertisement based on the characteristics of the impression. Infer Engine is a system that optimizes bidding for media campaigns by maximizing total profit for every impression. The theoretical foundation of the Engine is a by statistics based […]

Jason Duff, who is completing MSc program at the University of Ottawa, recently found evidence for sedimentary rocks in the North Caribou greenstone belt that are 2680 million years old, younger than other rocks in the belt. The rocks elsewhere in the belt contain 3.0 billion year sedimentary and volcanic rocks including the host rocks […]

Collaborative filtering is a product recommendation technique for making automated product suggestions to a user based on the preference information from similar users. Traditional recommendation algorithms drive personalized recommendations using the data from user purchases and ratings. For e-book retailers, besides user purchases and ratings, product features such as book content and metadata also provide […]

Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. Then objective of the project is to develop predictive models by machine learning approach and data mining techniques from the large volum […]