Allan Garland, University of Calgary

Research

Cross-Jurisdictional Research Detection Of Acute Myocardial Infarction Detection Of Hypertension Detection Of Sepsis Diagnostic And Prognostic Prediction Disease Surveillance Electronic Medical Records Federated Learning

Latest papers

Predicting Performance Status 1 Year After Critical Illness in Patients 80 Years or Older
Critical Care Medicine · 2016
The Very Elderly Admitted to ICU
Critical Care Medicine · 2015
Interaction between fluids and vasoactive agents on mortality in septic shock: a multicenter, observational study.
Critical care medicine · 2014 · senior author

All 4 publications

Latest funding

Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection
CIHR · 2022 · Principal investigator
$703,800
Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Sepsis Detection
CIHR · 2022 · Co-investigator

All 2 grants and awards

4 publications.

01

Predicting Performance Status 1 Year After Critical Illness in Patients 80 Years or Older

Heyland DK, Stelfox HT, Garland A, Cook D, Dodek P, Kutsogiannis J, Jiang X, Turgeon AF, Day AG

Critical Care Medicine201651 citations

DOI: 10.1097/ccm.0000000000001762

02

The Very Elderly Admitted to ICU

Heyland D, Cook D, Bagshaw SM, Garland A, Stelfox HT, Mehta S, Dodek P, Kutsogiannis J, Burns K, Muscedere J

Critical Care Medicine2015160 citations

DOI: 10.1097/ccm.0000000000001024

03

Interaction between fluids and vasoactive agents on mortality in septic shock: a multicenter, observational study.

Waechter J, Kumar A, Lapinsky SE, Marshall J, Dodek P, Arabi Y, Parrillo JE, Dellinger RP, Garland A, Cooperative Antimicrobial Therapy of Septic Shock Database Research Group

Critical care medicine2014Senior author

DOI: 10.1097/ccm.0000000000000520 PMID: 25072761

04

Knowledge Translation Interventions for Critically Ill Patients

Sinuff T, Muscedere J, Adhikari NKJ, Stelfox HT, Dodek P, Heyland DK, Rubenfeld GD, Cook DJ, Pinto R, Manoharan V

Critical Care Medicine201375 citationsSenior author

DOI: 10.1097/ccm.0b013e3182982b03

Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection

Principal investigatorCIHR2022Project Grant

Principal investigators: Li, Na; Garland, Allan; Lamontagne, Francois; Li, Yue; Thavorn, Kednapa

Keywords: Cross-Jurisdictional Research; Detection Of Acute Myocardial Infarction; Detection Of Hypertension; Detection Of Sepsis; Diagnostic And Prognostic Prediction; Disease Surveillance; Electronic Medical Records; Federated Learning; Machine Learning; Population Health

$703,800

Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Sepsis Detection

Co-investigatorCIHR2022Project Grant - PA: Computer modelling/simulation to accelerate health research

Principal investigators: Li, Na

Keywords: Cross-Jurisdiction Research; Detection Of Sepsis; Diagnostic And Prognostic Prediction; Disease Surveillance; Electronic Medical Records; Federated Learning; Machine Learning; Population Health; Statistical Learning; System Performance

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Deborah Cook and Karen Burns: 94 shared papers
Deborah Cook and John Muscedere: 59 shared papers
Deborah Cook and Sangeeta Mehta: 58 shared papers
Karen Burns and Sangeeta Mehta: 44 shared papers
Deborah Cook and Peter Dodek: 37 shared papers
Karen Burns and Karen Burns: 27 shared papers
Deborah Cook and John Marshall: 23 shared papers
Deborah Cook and Ruxandra Pinto: 23 shared papers
John Muscedere and Sangeeta Mehta: 21 shared papers
Deborah Cook and Deborah Cook: 18 shared papers
Karen Burns and Peter Dodek: 18 shared papers
Peter Dodek and John Muscedere: 18 shared papers
John Marshall and John Muscedere: 15 shared papers
Sonny Dhanani and Sonny Dhanani: 14 shared papers
Deborah Cook and Karen Burns: 13 shared papers
Deborah Cook and Anand Kumar: 13 shared papers
Karen Burns and Sangeeta Mehta: 13 shared papers
Sonny Dhanani and Sonny Dhanani: 12 shared papers
Karen Burns and Sonny Dhanani: 11 shared papers
Peter Dodek and Anand Kumar: 11 shared papers
Deborah Cook and Sangeeta Mehta: 10 shared papers
John Muscedere and Ruxandra Pinto: 10 shared papers
Sangeeta Mehta and Ruxandra Pinto: 10 shared papers
Karen Burns and Deborah Cook: 8 shared papers
John Marshall and Anand Kumar: 8 shared papers
Deborah Cook and John Muscedere: 6 shared papers
Sonny Dhanani and Sonny Dhanani: 6 shared papers
Anand Kumar and Anand Kumar: 6 shared papers
Dominique Piquette and Ruxandra Pinto: 5 shared papers
Sonny Dhanani and Sonny Dhanani: 5 shared papers
Sonny Dhanani and Sonny Dhanani: 5 shared papers
John Muscedere and John Muscedere: 5 shared papers
Sonny Dhanani and Sonny Dhanani: 5 shared papers
Deborah Cook and Daren Heyland: 4 shared papers
Deborah Cook and Dominique Piquette: 4 shared papers
Karen Burns and Dominique Piquette: 4 shared papers
Daren Heyland and John Muscedere: 4 shared papers
Peter Dodek and Allan Garland: 4 shared papers
John Marshall and John Marshall: 4 shared papers
Deborah Cook and Allan Garland: 3 shared papers
Peter Dodek and John Muscedere: 3 shared papers
Peter Dodek and Anand Kumar: 3 shared papers
John Marshall and Anand Kumar: 3 shared papers
Deborah Cook and John Marshall: 2 shared papers
Karen Burns and John Marshall: 2 shared papers
John Muscedere and Allan Garland: 2 shared papers
Deborah Cook and Daren Heyland: 1 shared paper
Deborah Cook and Daren Heyland: 1 shared paper
Deborah Cook and Allan Garland: 1 shared paper
Karen Burns and Daren Heyland: 1 shared paper
Karen Burns and Daren Heyland: 1 shared paper
Karen Burns and Daren Heyland: 1 shared paper
Karen Burns and Allan Garland: 1 shared paper
Daren Heyland and Daren Heyland: 1 shared paper
Daren Heyland and Daren Heyland: 1 shared paper
Daren Heyland and Allan Garland: 1 shared paper
Daren Heyland and Allan Garland: 1 shared paper
Karen Burns and Allan Garland: 1 shared paper
Peter Dodek and Allan Garland: 1 shared paper
Daren Heyland and Allan Garland: 1 shared paper
John Marshall and Allan Garland: 1 shared paper
Dominique Piquette and Allan Garland: 1 shared paper
Dominique Piquette and Allan Garland: 1 shared paper
Sonny Dhanani and Allan Garland: 1 shared paper
Anand Kumar and Allan Garland: 1 shared paper
Sonny Dhanani and Allan Garland: 1 shared paper
John Muscedere and Allan Garland: 1 shared paper
Anand Kumar and Allan Garland: 1 shared paper
Deborah Cook and Allan Garland: 1 shared paper
Sangeeta Mehta and Allan Garland: 1 shared paper
Allan Garland and John Marshall: 1 shared paper
Allan Garland and Allan Garland: 1 shared paper
Allan Garland and Sonny Dhanani: 1 shared paper
Allan Garland and Sonny Dhanani: 1 shared paper
Allan Garland and Ruxandra Pinto: 1 shared paper

Critical Care Medicine
Medicine
Anesthesiology and Pain Management
Community Health Sciences
General Internal Medicine
Family Medicine
Health Research Methods, Evidence, and Impact
Other

1 shared papers, latest 2015

Daren Heyland

Medicine

1 shared papers, latest 2015

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their CIHR grant from 2022

Subject: Prospective PhD student: Cross-Jurisdictional Research Dear Professor Garland, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Predicting Performance Status 1 Year After Critical Illness in Patients 80 Years or Older" (2016), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]