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...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-09-01
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Series: | Frontiers in Endocrinology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fendo.2020.00643/full |