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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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| Publicado en: | Front Endocrinol (Lausanne) |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | 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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