Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery

Volume: 23, Issue: 5, Pages: 543 - 551
Published: Jun 3, 2020
Abstract
Hyponatremia after pituitary surgery is a frequent finding with potential severe complications and the most common cause for readmission. Several studies have found parameters associated with postoperative hyponatremia, but no reliable specific predictor was described yet. This pilot study evaluates the feasibility of machine learning (ML) algorithms to predict postoperative hyponatremia after resection of pituitary lesions. Retrospective...
Paper Details
Title
Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery
Published Date
Jun 3, 2020
Journal
Volume
23
Issue
5
Pages
543 - 551
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.