Multidimensional machine learning models predicting outcomes after trauma-Reference-Cited by-同舟云学术

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Multidimensional machine learning models predicting outcomes after trauma

Published:2022-12 Issue:6 Volume:172 Page:1851-1859
ISSN:0039-6060
Container-title:Surgery
language:en
Short-container-title:Surgery

Author:

Moris Dimitrios,Henao Ricardo^ORCID,Hensman Hannah,Stempora Linda,Chasse Scott^ORCID,Schobel Seth^ORCID,Dente Christopher J.^ORCID,Kirk Allan D.,Elster Eric^ORCID

Publisher

Elsevier BV

Subject

Surgery

Reference54 articles.

1. The Uniformed Services University's Surgical Critical Care Initiative (SC2i): bringing precision medicine to the critically ill;Belard;Mil Med,2018

2. Towards precision medicine: Accurate predictive modeling of infectious complications in combat casualties;Dente;J Trauma Acute Care Surg,2017

3. Advanced modeling to predict pneumonia in combat trauma patients;Bradley;World J Surg,2020

4. Incorporating machine learning into established bioinformatics frameworks;Auslander;Int J Mol Sci,2021

5. Development and reporting of prediction models: guidance for authors from editors of respiratory, sleep, and critical care journals;Leisman;Crit Care Med,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Immune Phenotype and Postoperative Complications After Elective Surgery;Annals of Surgery;2023-04-13

2. A random forest model using flow cytometry data identifies pulmonary infection after thoracic injury;Journal of Trauma and Acute Care Surgery;2023-04-11

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