Article

Comparison of machine learning methods for clinical data imputation among a real-world lung cancer cohort

2022-06-14

Abstract excerpt

<h4>PURPOSE</h4> Cancer registries are important sources of real-world data (RWD) that reveal insights into practice patterns and cancer patient outcomes, but the prevalence of missing data can be high. Machine learning (ML) imputation methods can be applied to large RWD sets, but the performance of these approaches within cancer registries is unclear. <h4>METHODS</h4> We identified non-small cell lung cancer (NSC...

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Literature Corpus work: 0d3bd4be-d2c1-57c3-985e-2866437d89ab
DOI: 10.1101/2022.06.12.22276306

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