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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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