Designing predictive models for appraisal of outcome of neurosurgery patients using machine learning-based techniques

Designing predictive models for appraisal of outcome of neurosurgery patients using machine learning-based techniques

Background: Recently, machine learning (ML) methods have been progressively applied in medical researches. Predicting ICU outcome helps hospitals to better manage their resources. In addition, by recognition of the most important factors in predicting ICU outcome, some new protocols may be developed...

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Bibliographic Details
Main Authors: Behrooz Alizadeh, Ahmad Alibabaei, Soleiman Ahmadi, Seyed Farzad Maroufi, Soudeh Ghafouri-Fard, Saeedeh Nateghinia
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Interdisciplinary Neurosurgery
Subjects:
Neurosurgery
Machine learning
Outcome
Critical care
Online Access:http://www.sciencedirect.com/science/article/pii/S2214751922001724

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