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

OBJECTIVE: No 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. METHODS: A total of 215 male pat...

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Detalles Bibliográficos
Autores principales: Fang, Yi, Wang, He, Feng, Ming, Zhang, Wentai, Cao, Lei, Ding, Chenyu, Chen, Hongjie, Wei, Liangfeng, Mu, Shuwen, Pei, Zhijie, Li, Jun, Zhang, Heng, Wang, Renzhi, Wang, Shousen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529112/
https://www.ncbi.nlm.nih.gov/pubmed/34690934
http://dx.doi.org/10.3389/fendo.2021.748725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529112/
https://www.ncbi.nlm.nih.gov/pubmed/34690934
http://dx.doi.org/10.3389/fendo.2021.748725

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