Machine learning-based clinical outcome prediction in surgery for acromegaly

PURPOSE: Biochemical remission (BR), gross total resection (GTR), and intraoperative cerebrospinal fluid (CSF) leaks are important metrics in transsphenoidal surgery for acromegaly, and prediction of their likelihood using machine learning would be clinically advantageous. We aim to develop and exte...

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Detalles Bibliográficos
Autores principales: Zanier, Olivier, Zoli, Matteo, Staartjes, Victor E., Guaraldi, Federica, Asioli, Sofia, Rustici, Arianna, Picciola, Valentino Marino, Pasquini, Ernesto, Faustini-Fustini, Marco, Erlic, Zoran, Regli, Luca, Mazzatenta, Diego, Serra, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816764/
https://www.ncbi.nlm.nih.gov/pubmed/34642894
http://dx.doi.org/10.1007/s12020-021-02890-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816764/
https://www.ncbi.nlm.nih.gov/pubmed/34642894
http://dx.doi.org/10.1007/s12020-021-02890-z

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