Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction

Conventional multivariate regression-based models are better than some and worse than other machine learning algorithms to provide good predictive accuracy in a moderate dataset with a reasonable number of features. However, whenever possible, the AI/ML GBT approach should be considered.

Authors

Rami Abielmona (ORCID: https://orcid.org/0000-0002-8904-8769)
Robert Talarico (ORCID: https://orcid.org/0000-0001-5060-680X)
Lise M. Bjerre (ORCID: https://orcid.org/0000-0003-3634-3585)
Cayden Peixoto (ORCID: https://orcid.org/0000-0003-3473-1816)
Rawan Alkurd

Institutions

University of Ottawa (CA)
Ottawa Hospital (CA)
Larus Technologies (Canada) (CA)
Institute for Clinical Evaluative Sciences (CA)
Institut du Savoir Montfort (CA)

Publication Details

Journal: Global Epidemiology
Published: 2024-10-04
DOI: https://doi.org/10.1016/j.gloepi.2024.100168
Citations: 6
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 2.08

Funders

University of Ottawa
Ontario Ministry of Health and Long-Term Care

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article

Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction

Rami Abielmona, Robert Talarico, Lise M. Bjerre, Cayden Peixoto et al.

Oct 4, 2024

6 citations

Global Epidemiology

Machine Learning in Healthcare

2.08

article

Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction

Rami Abielmona, Robert Talarico, Lise M. Bjerre, Cayden Peixoto, Rawan Alkurd

October 4, 2024article en

6 citations

Abstract

Conventional multivariate regression-based models are better than some and worse than other machine learning algorithms to provide good predictive accuracy in a moderate dataset with a reasonable number of features. However, whenever possible, the AI/ML GBT approach should be considered.

Global EpidemiologyVol. 8

University of Ottawa (CA), Ottawa Hospital (CA), Larus Technologies (Canada) (CA), Institute for Clinical Evaluative Sciences (CA), Institut du Savoir Montfort (CA)

University of Ottawa, Ontario Ministry of Health and Long-Term Care

Openalex Percentile: Top 11%

Machine Learning in Healthcare

2.08

DOI Open Access PDF OpenAlex

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Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction — Rami Abielmona, Robert Talarico, et al. · Global Epidemiology (2024) | TGRS Research Map | TGRS