Technical Note: Navigating overfitting during machine learning model development

Published on 01/29/2024

< 1 min read

We’re often asked how we avoid overfitting when developing predictive machine learning models for clinical research. This technical note explains how.

Do you want to further your understanding of overfitting, or are you interested to learn how we avoid overfitting when developing predictive machine learning models for clinical research? Browse our tech note, which includes a step-by-step, published example of how we developed a model that was able to successfully support the evaluation of kidney cancer tumor upstaging in individual patients.

About the Author

Mallory Gough

Proposition and Content Marketing Senior Manager

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