Meta-learning algorithm development to predict outcomes in patients with hepatitis C virus-related hepatocellular carcinoma.

Rania M Lithy,Ashraf Omar Abdelaziz,Abobakr Awad,Hend Ibrahim Shousha,Dalia Omran,Mohamed Mahmoud Nabil,Ahmed Hosni Abdelmaksoud,Tamer Mahmoud Elbaz,Mahasen Mabrouk

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology（2022）

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摘要

Machine learning analysis explores data to discover hidden patterns and trends and enables the development of models to predict HCC treatment outcomes utilizing simple laboratory data. The random subspace classifier predicted the outcome more accurately than REP-tree.

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关键词

Data mining,Decision tree,Hepatocellular carcinoma,Treatment outcome

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