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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Zapisane w:
Opis bibliograficzny
Wydane w:Front Endocrinol (Lausanne)
Główni autorzy: Dai, Congxin, Fan, Yanghua, Li, Yichao, Bao, Xinjie, Li, Yansheng, Su, Mingliang, Yao, Yong, Deng, Kan, Xing, Bing, Feng, Feng, Feng, Ming, Wang, Renzhi
Format: Artigo
Język:Inglês
Wydane: Frontiers Media S.A. 2020
Hasła przedmiotowe:
Endocrinology
Dostęp online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7525125/
https://ncbi.nlm.nih.gov/pubmed/33042013
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fendo.2020.00643
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