Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models

Authors

Thomas D. Walters (ORCID: https://orcid.org/0000-0002-4184-4600)
Mark Clemons (ORCID: https://orcid.org/0000-0001-9392-8219)
Nicholas Mitsakakis (ORCID: https://orcid.org/0000-0001-9041-9152)
Gregory R. Pond (ORCID: https://orcid.org/0000-0003-1033-0882)
Lisa Pilgram (ORCID: https://orcid.org/0000-0002-1020-0650)
Dan Liu (ORCID: https://orcid.org/0000-0001-9632-4736)
Samer El Kababji (ORCID: https://orcid.org/0000-0002-7642-2280)
Khaled El Emam (ORCID: https://orcid.org/0000-0003-3325-4149)
Alaa El-Hussuna

Institutions

University of Ottawa (CA)
Children's Hospital of Eastern Ontario (CA)
Ottawa Hospital (CA)
Hospital for Sick Children (CA)
Ottawa Hospital Research Institute (CA)
Charité - Universitätsmedizin Berlin (DE)
McMaster University (CA)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-11-28
DOI: https://doi.org/10.1186/s12911-025-03266-3
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 0.00

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article

Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models

Thomas D. Walters, Mark Clemons, Nicholas Mitsakakis, Gregory R. Pond et al.

Nov 28, 2025

BMC Medical Informatics and Decision Making

Machine Learning in Healthcare

article

Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models

Thomas D. Walters, Mark Clemons, Nicholas Mitsakakis, Gregory R. Pond, Lisa Pilgram, Dan Liu, Samer El Kababji, Khaled El Emam, Alaa El-Hussuna

November 28, 2025article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 25(1)

University of Ottawa (CA), Children's Hospital of Eastern Ontario (CA), Ottawa Hospital (CA), Hospital for Sick Children (CA), Ottawa Hospital Research Institute (CA), Charité - Universitätsmedizin Berlin (DE), McMaster University (CA)

Openalex Percentile: Top 80%

Machine Learning in Healthcare

DOI Open Access PDF OpenAlex

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