Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up

Background: Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperative treatment during long-term follow-up; this phenomenon is defined as postoperative delayed remission (DR). DR may complicate the interpr...

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Detalles Bibliográficos
Autores principales: Dai, Congxin, Fan, Yanghua, Li, Yichao, Bao, Xinjie, Li, Yansheng, Su, Mingliang, Yao, Yong, Deng, Kan, Xing, Bing, Feng, Feng, Feng, Ming, Wang, Renzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525125/
https://www.ncbi.nlm.nih.gov/pubmed/33042013
http://dx.doi.org/10.3389/fendo.2020.00643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525125/
https://www.ncbi.nlm.nih.gov/pubmed/33042013
http://dx.doi.org/10.3389/fendo.2020.00643

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