中文版 | English
Title

Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods

Author
Corresponding AuthorFeng, Xiaobin
Publication Years
2023
DOI
Source Title
ISSN
1547-1063
EISSN
1551-0018
Volume20Issue:3
Abstract
Liver cancer is a common cause of death from cancer in the population, with the 4th highest mortality rate from cancer worldwide. The high recurrence rate of hepatocellular carcinoma after surgery is an important cause of high mortality among patients. In this paper, based on eight scheduled core markers of liver cancer, an improved feature screening algorithm was proposed based on the analysis of the basic principles of the random forest algorithm, and the system was finally applied to liver cancer prognosis prediction to improve the prediction of biomarkers for liver cancer recurrence, and the impact of different algorithmic strategies on the prediction accuracy was compared and analyzed. The results showed that the improved feature screening algorithm was able to reduce the feature set by about 50% while ensuring that the prediction accuracy was reduced within 2%.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
WOS Research Area
Mathematical & Computational Biology
WOS Subject
Mathematical & Computational Biology
WOS Accession No
WOS:000961088000005
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:1
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/583134
DepartmentShenzhen People's Hospital
Affiliation
1.UCL, Fac Math & Phys Sci, London WC1E 6BT, England
2.Tsinghua Univ, Sch Clin Med, Beijing 100084, Peoples R China
3.Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Gen Surg,Div Hepatobiliary & Pancreas Surg, Shenzhen 518020, Guangdong, Peoples R China
4.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen 518020, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Su, Zhiyue,Li, Chengquan,Fu, Haitian,et al. Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods[J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING,2023,20(3).
APA
Su, Zhiyue,Li, Chengquan,Fu, Haitian,Wang, Liyang,Wu, Meilong,&Feng, Xiaobin.(2023).Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods.MATHEMATICAL BIOSCIENCES AND ENGINEERING,20(3).
MLA
Su, Zhiyue,et al."Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods".MATHEMATICAL BIOSCIENCES AND ENGINEERING 20.3(2023).
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