Machine-Learning Prediction of Postoperative Pituitary Hormonal Outcomes in Nonfunctioning Pituitary Adenomas: A Multicenter Study

Machine-Learning Prediction of Postoperative Pituitary Hormonal Outcomes in Nonfunctioning Pituitary Adenomas: A Multicenter Study

ObjectiveNo accurate predictive models were identified for hormonal prognosis in non-functioning pituitary adenoma (NFPA). This study aimed to develop machine learning (ML) models to facilitate the prognostic assessment of pituitary hormonal outcomes after surgery.MethodsA total of 215 male patients...

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Bibliographic Details
Main Authors: Yi Fang, He Wang, Ming Feng, Wentai Zhang, Lei Cao, Chenyu Ding, Hongjie Chen, Liangfeng Wei, Shuwen Mu, Zhijie Pei, Jun Li, Heng Zhang, Renzhi Wang, Shousen Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Endocrinology
Subjects:
hypopituitarism
machine learning
neuroendocrine tumor
pituitary tumors
prognosis
surgery
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2021.748725/full

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https://www.frontiersin.org/articles/10.3389/fendo.2021.748725/full

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