Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers

Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers

Abstract Background Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recent literature reports additional biomarkers with the...

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Bibliographic Details
Main Authors: Luis Abrego, Alexey Zaikin, Ines P. Marino, Mikhail I. Krivonosov, Ian Jacobs, Usha Menon, Aleksandra Gentry‐Maharaj, Oleg Blyuss
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Cancer Medicine
Subjects:
CA125
change‐point detection
longitudinal biomarkers
ovarian cancer
recurrent neural networks
Online Access:https://doi.org/10.1002/cam4.7163

Internet

https://doi.org/10.1002/cam4.7163

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