Machine learning in predicting hepatocellular carcinoma in patients with chronic viral hepatitis in Hong Kong: abridged secondary publication.
Hong Kong medical journal = Xianggang yi xue za zhi(2023)
Abstract
1. Novel machine-learning models generate accurate risk scores for hepatocellular carcinoma (HCC) in patients with chronic viral hepatitis. 2. HCC ridge score is consistently more accurate than existing HCC risk scores. 3. These machine-learning models may be incorporated into electronic health systems to guide cancer surveillance strategies and reduce cancer death.
MoreTranslated text
Key words
hepatocellular carcinoma,chronic viral hepatitis,machine learning
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined