Predicting 1-Year Mortality after Hip Fracture Surgery: An Evaluation of Multiple Machine Learning Approaches

Predicting 1-Year Mortality after Hip Fracture Surgery: An Evaluation of Multiple Machine Learning Approaches

Postoperative death within 1 year following hip fracture surgery is reported to be up to 27%. In the current study, we benchmarked the predictive precision and accuracy of the algorithms support vector machine (SVM), naïve Bayes classifier (NB), and random forest classifier (RF) against logistic reg...

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Bibliographic Details
Main Authors: Maximilian Peter Forssten, Gary Alan Bass, Ahmad Mohammad Ismail, Shahin Mohseni, Yang Cao
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Personalized Medicine
Subjects:
hip fracture
postoperative mortality
prediction
variable importance
machine learning
logistic regression
Online Access:https://www.mdpi.com/2075-4426/11/8/727

Internet

https://www.mdpi.com/2075-4426/11/8/727

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