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...

Full description

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

Similar Items

Similar Items