How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms

Learning curves are a simple tool that can be used to determine the minimum sample size required for future prediction modelling studies of different malaria outcomes that use machine learning algorithms for prediction. These curves need to be generated for each specific prediction modelling application.

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Publication Details

Journal
Malaria Journal
Published
2025-07-24
DOI
https://doi.org/10.1186/s12936-025-05479-3
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms

Julie Anne Simpson, Sophie Zaloumis, Megha Rajasekhar
Malaria Journal
Malaria Research and Control
article

How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms

Julie Anne Simpson, Sophie Zaloumis, Megha Rajasekhar
article en

Abstract

Learning curves are a simple tool that can be used to determine the minimum sample size required for future prediction modelling studies of different malaria outcomes that use machine learning algorithms for prediction. These curves need to be generated for each specific prediction modelling application.

Malaria JournalVol. 24(1)
The University of Melbourne (AU), University of Oxford (GB), Melbourne Health (AU)
National Health and Medical Research Council
Openalex Percentile: Top 75%
Malaria Research and Control
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