October 29, 2013The American Journal of Gastroenterology

Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma

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Abstract

Machine-learning algorithms improve the accuracy of risk stratifying patients with cirrhosis and can be used to accurately identify patients at high-risk for developing HCC.

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Cite This Study

Singal et al. (2013) studied this question.

synapsesocial.com/papers/69dbcccd50e1971baba3cdcd https://doi.org/10.1038/ajg.2013.332

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Abstract

Machine-learning algorithms improve the accuracy of risk stratifying patients with cirrhosis and can be used to accurately identify patients at high-risk for developing HCC.

Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma

Abstract

Discussion

Cite This Study

Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma

Abstract

Discussion

Cite This Study

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