A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-ta...
A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression
About this item
Full title
Author / Creator
Ye, Qiulin , Qi, Yue , Liu, Juanjuan , Hu, Yuexin , Li, Xiao , Guo, Qian , Zhang, Danye and Lin, Bei
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Effective management of patients with borderline ovarian tumor (BOT) requires the timely identification of those at a higher risk of recurrence. Artificial neural networks have been successfully used in many areas of clinical event prediction, significantly affecting clinical decisions and practice.
We developed and validated a novel clinical mo...
Alternative Titles
Full title
A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e25f7fffa920488fbe876a1c67846172
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e25f7fffa920488fbe876a1c67846172
Other Identifiers
ISSN
1471-2407
E-ISSN
1471-2407
DOI
10.1186/s12885-025-13636-9
