Development of a standalone web application to facilitate the exploration of peer-to-peer matching algorithms and their associated benefits and drawbacks

Student

Directeur.e(s) de recherche

John Kildea

Start date

2022-05-09

Title of the research project

Development of a standalone web application to facilitate the exploration of peer-to-peer matching algorithms and their associated benefits and drawbacks

Description

The cancer experience and the uncertainty surrounding it is anxiety provoking. One way in which the non-clinical uncertainty of the cancer experience can be reduced is through peer support. The Opal Health Informatics Group seeks to evaluate the efficacy of an artificial intelligence-based peer support matching algorithm in the pre-existing patient portal Opal in the hopes of facilitating peer support programs (for cancer patients and their caregivers) in Quebec.

Our work focused on the architectural design, development, and demonstration of a proof of concept stand-alone web application used to demonstrate the results of several varieties of AI-powered matching algorithms on test patient data.

Discover

Featured project

Development of an automatic prognostic tool combining images and clinical data for highgrade prostate cancer.

Student member : Maxence Larose

Prostate cancer is the second most frequent cancer and the fifth leading cause of cancer death among men. To improve patient outcomes, treatment must be personalized based on accurate prognosis. Nomograms already exist to identify patients at low risk for recurrence based on preoperative clinical information, but these tools do not use patients’ medical images.