Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study

Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study

Abstract Objectives Hospitalized patients with severe obesity require adapted hospital management. The aim of this study was to evaluate a machine learning model to predict in‐hospital mortality among this population. Methods Data of unselected consecutive emergency department admissions of hospital...

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Bibliographic Details
Main Authors: Shelly Soffer, Eyal Zimlichman, Matthew A. Levin, Alexis M. Zebrowski, Benjamin S. Glicksberg, Robert Freeman, David L. Reich, Eyal Klang
Format: Article
Language:English
Published: Wiley 2022-08-01
Series:Obesity Science & Practice
Subjects:
big data
in‐hospital mortality
machine learning
obesity
severe
Online Access:https://doi.org/10.1002/osp4.571

Internet

https://doi.org/10.1002/osp4.571

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