Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda-Reference-Cited by-同舟云学术

Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda

Published:2021-04-01 Issue:7 Volume:38 Page:928-939
ISSN:0897-7151
Container-title:Journal of Neurotrauma
language:en
Short-container-title:Journal of Neurotrauma

Author:

Adil Syed M.¹,Elahi Cyrus¹,Gramer Robert¹,Spears Charis A.¹,Fuller Anthony T.¹²³,Haglund Michael M.¹²³,Dunn Timothy W.¹²⁴

Affiliation:

1. Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA.

2. Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA.

3. Duke Global Health Institute, Duke University, Durham, North Carolina. USA.

4. Department of Statistical Science, Duke University Medical Center, Durham, North Carolina, USA.

Publisher

Mary Ann Liebert Inc

Subject

Neurology (clinical)

Link

https://www.liebertpub.com/doi/pdf/10.1089/neu.2020.7262

Reference46 articles.

1. Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development

2. Global neurotrauma research challenges and opportunities

3. Global neurosurgery: innovators, strategies, and the way forward

4. Pediatric traumatic brain injury at Mbarara Regional Referral Hospital, Uganda

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