Article

Simple Linear Cancer Risk Prediction Models with Novel Features Outperform Complex Approaches

2021-01-13

Abstract excerpt

<h4>ABSTRACT</h4> A patient’s risk for cancer is usually estimated through simple linear models that sum effect sizes of proven risk factors. In theory, more advanced machine learning models can be used for the same task. Using data from the UK Biobank, a large prospective health study, we have developed linear and machine learning models for the prediction of 12 different cancers diagnoses within a 10 year time s...

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Literature Corpus work: 45628540-773d-5967-af64-66b338ba8e4b
DOI: 10.1101/2021.01.11.21249290

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