Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections

Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections

The quantitative effect of seasonality on the prevalence of infectious diseases has been widely studied in epidemiological models. However, its influence in clinical prediction models has not been analyzed in great depth. In this work, we study the different approaches that can be employed to deal w...

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Bibliographic Details
Main Authors: Bernardo Cánovas-Segura, Antonio Morales, Jose M. Juarez, Manuel Campos
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
seasonality
concept drift
clinical prediction models
high dimensionality
class imbalance
infectious diseases
Online Access:https://www.mdpi.com/2076-3417/13/14/8317

Internet

https://www.mdpi.com/2076-3417/13/14/8317

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