Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls.

Radiology. Artificial intelligence(2023)

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摘要
Machine learning models developed with these methodological pitfalls, which are undetectable during internal evaluation, produce inaccurate predictions; thus, understanding and avoiding these pitfalls is necessary for developing generalizable models. Random Forest, Diagnosis, Prognosis, Convolutional Neural Network (CNN), Medical Image Analysis, Generalizability, Machine Learning, Deep Learning, Model Evaluation Published under a CC BY 4.0 license.
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关键词
Convolutional Neural Network (CNN),Deep Learning,Diagnosis,Generalizability,Machine Learning,Medical Image Analysis,Model Evaluation,Prognosis,Random Forest
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