Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis

Song, Xuan; Liu, Xinyan; Liu, Fei; Wang, Chunting

doi:10.1016/j.ijmedinf.2021.104484

Public

Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis

Published in International Journal of Medical Informatics • May 8, 2021

Authors:

Xuan Song

Xinyan Liu

Fei Liu

Abstract

INTRODUCTION: We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction model. METHODS: Eligible studies were identified using PubMed and Embase. A total of 24 studies consisting of 84 predi...

Subject

Logistic regression

Medicine

Predictive modelling

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!