Title | Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods |
Author | |
Corresponding Author | Feng, Xiaobin |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 1547-1063
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EISSN | 1551-0018
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Volume | 20Issue: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
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SUSTech Authorship | Others
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WOS Research Area | Mathematical & Computational Biology
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WOS Subject | Mathematical & Computational Biology
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WOS Accession No | WOS:000961088000005
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Publisher | |
Data Source | Web of Science
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Citation statistics |
Cited Times [WOS]:1
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/583134 |
Department | Shenzhen 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).
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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).
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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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