Machine learning algorithms based on proteomic data mining accurately predicting the recurrence of hepatitis B-related hepatocellular carcinoma.

Gong FengNa HeHarry Hua-Xiang XiaMan MiKe WangChristopher D ByrneGiovanni TargherHai-Yang YuanXin-Lei ZhangMing-Hua ZhengFeng Ye

Published in: Journal of gastroenterology and hepatology (2022)

Our study identifies seven novel proteins for predicting HCC recurrence and the random forest algorithm as the most suitable predictive model for HCC recurrence.

Keyphrases

machine learning
free survival
big data
deep learning
artificial intelligence
climate change
dna methylation
drug induced