Supervised machine learning to validate a novel scoring system for the prediction of disease remission of functional pituitary adenomas following transsphenoidal surgery

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Supervised machine learning to validate a novel scoring system for the prediction of disease remission of functional pituitary adenomas following transsphenoidal surgery ; volume:13 ; number:1 ; day:16 ; month:9 ; year:2023 ; pages:1-12 ; date:12.2023
Scientific reports ; 13, Heft 1 (16.9.2023), 1-12, 12.2023

Creator
McKevitt, Chase
Gabriel, Ellie
Marenco-Hillembrand, Lina
Otamendi-Lopez, Andrea
Jeevaratnam, Suren
Almeida, Joao Paulo
Samson, Susan
Chaichana, Kaisorn L.
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-023-42157-3
URN
urn:nbn:de:101:1-2024020112405082346986
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:23 AM CEST

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Associated

  • McKevitt, Chase
  • Gabriel, Ellie
  • Marenco-Hillembrand, Lina
  • Otamendi-Lopez, Andrea
  • Jeevaratnam, Suren
  • Almeida, Joao Paulo
  • Samson, Susan
  • Chaichana, Kaisorn L.
  • SpringerLink (Online service)

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