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

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

Background: Research comparing artificial intelligence and machine learning (AI/ML) methods with classical statistical methods applied to large population health databases is limited. Objectives: This retrospective cohort study aimed to compare the predictive performance of AI/ML algorithms against...

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Bibliographic Details
Main Authors: Lise M. Bjerre, Cayden Peixoto, Rawan Alkurd, Robert Talarico, Rami Abielmona
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Global Epidemiology
Subjects:
Artificial intelligence
Machine learning
COVID-19
Logistic regression
Predictive modeling
Gradient boosting trees
Online Access:http://www.sciencedirect.com/science/article/pii/S2590113324000348
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