Interactive Presentation of Simulations (iPRESS)

iPRESS is a Web platform for making the results of computer simulations in general and decision analyses in particular available to the end-users. The users of decision analysis are no longer limited to the published figures and tables.

  • Acute COPD Exacerbation Prediction Tool (ACCEPT) projects individualized rate and severity of COPD exacerbations for COPD patients.

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  • This web application uses a linear mixed effects predictive model based on the Framingham Offspring Study to predict lung function decline over time in healthy adult population. Predictions are based on twenty common predictors selected through machine learning selection, and random effects to model unexplained heterogeneity among individuals.

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  • COPD Hospitalization web app.

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  • Asthma Hospitalization web app. This study was funded by a research grant from the Canadian Institutes of Health Research and Genome Canada (274CHI). The funders had no role in any aspect of this study and were not aware of the results. Ethics approval was obtained from the University of British Columbia’s Clinical Research Ethics Board.

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  • This web application is for analyzing budget impact of adopting primary care-based COPD case detection in the Canadian general population. The analysis was performed using the Evaluation Platform in COPD (EPIC) which is a microsimulation model of COPD in Canadians aged 40 years and above. Please refer to the manuscript for details on the model. Go here to read the full peer-reviewed publication.

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  • COPD Heatmap in British Columbia.

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DEVELOPERS:

Amin Adibi

PARTNERS:

Canadian Institutes of Health Research

ABOUT:

Acute COPD Exacerbation Prediction Tool (ACCEPT) projects individualized rate and severity of COPD exacerbations for COPD patients.

DISCLAIMER:

Please refer to the 'Terms' tab for more disclaimers.

IPRESS WEBAPP:

The iPress webapp will appear below. Please allow a few seconds for the app to load.

Acute COPD Exacerbation Prediction Tool (ACCEPT)

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Lung Function Predictor for the General Population

DEVELOPERS:

Amin Adibi, Wenjia Chen, Abdollah Safari, Jane Krot, Mark FitzGerald, Don Sin, Mohsen Sadatsafavi

ABOUT:

This web application uses a linear mixed effects predictive model based on the Framingham Offspring Study to predict lung function decline over time in healthy adult population. Predictions are based on twenty common predictors selected through machine learning selection, and random effects to model unexplained heterogeneity among individuals.

DISCLAIMER:

Please read usage terms at http://ipress.resp.med.ubc.ca/FraminghamFEV1/disclaimer.html

IPRESS WEBAPP:

The iPress webapp will appear below. Please allow a few seconds for the app to load.

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A digital map of Canada showing age-standardized COPD hospital admission rates by province, with a color gradient from purple to orange indicating the rates, and a timeline from 2002 to 2017 at the bottom.

DEVELOPERS:

Harry Lee

ABOUT:

COPD Hospitalization web app

DISCLAIMER:

None for now

IPRESS WEBAPP:

The iPress webapp will appear below. Please allow a few seconds for the app to load.

COPD Hospitalizations In Canada

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Map of Canada showing asthma hospitalization rates by province in 2002, color-coded from purple to orange based on rate, with a timeline slider at the bottom.

Asthma Hospitalization

DEVELOPERS:

Harry Lee

PARTNERS:

Canadian Institutes of Health Research

ABOUT:

Asthma Hospitalization web app

DISCLAIMER:

This study was funded by a research grant from the Canadian Institutes of Health Research and Genome Canada (274CHI). The funders had no role in any aspect of this study and were not aware of the results. Ethics approval was obtained from the University of British Columbia’s Clinical Research Ethics Board (H18-01026).

IPRESS WEBAPP:

The iPress webapp will appear below. Please allow a few seconds for the app to load.

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Budget impact analysis of adopting primary care-based COPD case detection in the Canadian general population

DEVELOPERS:

Dexter Kim

ABOUT:

This web application is for analyzing budget impact of adopting primary care-based COPD case detection in the Canadian general population. The analysis was performed using the Evaluation Platform in COPD (EPIC) which is a microsimulation model of COPD in Canadians aged 40 years and above. Please refer to the manuscript for details on the model. Go here to read the full peer-reviewed publication.

IPRESS WEBAPP:

The iPress webapp will appear below. Please allow a few seconds for the app to load.

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COPD Heatmap

DEVELOPERS:

Kayly Choy

PARTNERS:

AstraZeneca

ABOUT:

COPD Heatmap in British Columbia

IPRESS WEBAPP:

The iPress webapp will appear below. Please allow a few seconds for the app to load.

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