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Predicting biomarkers from classifier for liver metastasis of colorectal adenocarcinomas using machine learning models

2020-07-24

Abstract excerpt

Abstract Background Early diagnosis of liver metastasis is of great importance for enhancing the survival of colorectal adenocarcinoma (CAD) patients, and the combined use of a single biomarker in a classier model has shown great improvement in predicting the metastasis of several types of cancers. However, it is little reported for CAD. This study therefore aimed to screen an optimal classier model of CAD with li...

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Literature Corpus work
fe31fc95-dfe7-5de8-9b63-8443cca5ec11
DOI
10.1002/cam4.3289
Open publication

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Predicting biomarkers from classifier for liver metastasis of colorectal adenocarcinomas using machine learning modelsDOI 10.1002/cam4.3289
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