Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoin...
Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study
About this item
Full title
Author / Creator
Dai, Lei , Ye, Kun , Yao, Gaosheng , Lin, Juan , Tan, Zhiping , Wei, Jinhuan , Hu, Yanchang , Luo, Junhang , Fang, Yong and Chen, Wei
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Accurately assessing the prognosis of bladder cancer patients after radical cystectomy has important clinical and research implications. Current models, based on traditional statistical approaches and complex variables, have limited performance. We aimed to develop a machine learning (ML)-based prognostic model to predict 5-year cancer-specific mor...
Alternative Titles
Full title
Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7da31bcb281c4579b32849d5c5ace605
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7da31bcb281c4579b32849d5c5ace605
Other Identifiers
ISSN
1471-2407
E-ISSN
1471-2407
DOI
10.1186/s12885-025-13942-2
