Kednapa Thavorn, 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

Sepsis-Associated Mortality, Resource Use, and Healthcare Costs: A Propensity-Matched Cohort Study.
Critical care medicine · 2021 · senior author

All 1 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
ACT WHEN Randomized Controlled Trial
CIHR · 2022 · Co-investigator
$1,575,899

All 4 grants and awards

1 publications.

01

Sepsis-Associated Mortality, Resource Use, and Healthcare Costs: A Propensity-Matched Cohort Study.

Farrah K, McIntyre L, Doig CJ, Talarico R, Taljaard M, Krahn M, Fergusson D, Forster AJ, Coyle D, Thavorn K

Critical care medicine2021Senior author

DOI: 10.1097/ccm.0000000000004777 PMID: 33372748

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

ACT WHEN Randomized Controlled Trial

Co-investigatorCIHR2022Project Grant

Principal investigators: Menon, Bijoy K; Almekhlafi, Mohammed A; Dowlatshahi, Dariush

Keywords: Bridging; Rescue; Stroke; Thrombectomy; Thrombolysis

$1,575,899

Development and Evaluation of a Family-Partnered Care Pathway for Critically Ill Older Patients

Co-investigatorCIHR2015Team Grant: Late Life Issues

Principal investigators: Stelfox, Henry T; Heyland, Daren K

Keywords: Clinical Trial; Cohort Study; Critical Illness; Family Engagement; Focus Groups; Intensive Care Unit; Older Patients; Patient Centred Care; Survey

$1,388,754

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

School of Epidemiology and Public Health
Community Health Sciences
Department of Medicine
Neuropsychology
Clinical Epidemiology
Toronto General Research Institute
Other

Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Doug Coyle

School of Epidemiology and Public Health

1 shared papers, latest 2021

Murray Krahn

Toronto General Research Institute

1 shared papers, latest 2021

Dean Fergusson

Department of Medicine

1 shared papers, latest 2021

Monica Taljaard

School of Epidemiology and Public Health

1 shared papers, latest 2021

Lauralyn McIntyre

Clinical Epidemiology

1 shared papers, latest 2021

Kednapa Thavorn

School of Epidemiology and Public Health

1 shared papers, latest 2021

Kednapa Thavorn

Neuropsychology

1 shared papers, latest 2021

Kednapa Thavorn

Faculty

1 shared papers, latest 2021

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

Mention their CIHR grant from 2022

Subject: Prospective PhD student: Cross-Jurisdictional Research Dear Professor Thavorn, 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 "Sepsis-Associated Mortality, Resource Use, and Healthcare Costs: A Propensity-Matched Cohort Study." (2021), 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]