Machine learning-driven survival prediction in gestational trophoblastic neoplasms: a focus on PSTT and ETT prognosis

Machine learning-driven survival prediction in gestational trophoblastic neoplasms: a focus on PSTT and ETT prognosis

IntroductionThe clinicopathological characteristics and prognosis of placental site trophoblastic tumor (PSTT) and epithelioid trophoblastic tumor (ETT) have not been well summarized. Consequently, we conducted the largest to date series of samples of both types and employed machine learning (ML) to...

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Bibliographic Details
Main Authors: Sakhr Alshwayyat, Zena Haddadin, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Ramez M. Odat, Mohammed Al-mahdi Al-kurdi, Saoussane Kharmoum
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Oncology
Subjects:
clinical decision making
machine learning
placenta
prognosis
survival analysis
treatment outcome
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1457531/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1457531/full

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