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The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review
Autor:
Mika Janbahan, Anant Naik, Emily J. Smith, Darrion B. Yang, Alexander D. Smith, Charee M. Thompson, Lav R. Varshney, Wael Hassaneen
Publikováno v:
Journal of Neurological Surgery Part B: Skull Base.
The purpose of this analysis is to assess the use of machine learning (ML) algorithms in the prediction of postoperative outcomes, including complications, recurrence, and death in transsphenoidal surgery. Following Preferred Reporting Items for Syst