Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for pa...
Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
This study aimed to develop and validate machine learning (ML) models to predict the occurrence of delayed hyponatremia after transsphenoidal surgery for pituitary adenoma. We retrospectively collected clinical data on patients with pituitary adenomas treated with transsphenoidal surgery between January 2010 and December 2020. From January 2021 to...
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Full title
Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma
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TN_cdi_doaj_primary_oai_doaj_org_article_45125ca095154df1bf10f85fb155794f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45125ca095154df1bf10f85fb155794f
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-83319-1
