Projects
Integrating analytics, modelling, and real-world data to redefine COPD management.
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Implementing Predictive Analytics towards efficient COPD Treatments (IMPACT)
IMPACT is a CIHR-funded project advancing Precision Medicine for COPD. It develops predictive analytics tools integrated into Electronic Health Records. The goal: improve care quality and patient outcomes through data-driven insights.
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Evaluation Platform in COPD (EPIC)
EPIC is a comprehensive epidemiologic and decision-analytic model for chronic obstructive pulmonary disease (COPD) in Canada.
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Acute COPD Exacerbation Prediction Tool (ACCEPT)
The Acute COPD Exacerbation Prediction Tool (ACCEPT) is a validated clinical prediction model that predicts rate and severity of COPD exacerbations.
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Programmable Interface for Statistical & Simulation Models (PRISM)
PRISM is a platform that makes decision-analytics and clinical prediction models accessible on the cloud. PRISM enables end-users to interact with the model they are interested in, without worrying about having the required hardware resources, or setting up complex code on their computer.
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Lifetime Exposures and Asthma Outcomes Model (LEAP)
LEAP was developed with key factors that impact childhood asthma in mind. We identified risk factors through a formal conceptualization process involving respirologists, allergists, and modelers1. They can be categorized as (1) family history, (2) patient characteristics, and (3) environmental factors. An arrow indicates the direction of the relationship, along with the strength written above it.