Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients-Reference-Cited by-同舟云学术

Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients

Published:2020-09-29 Issue:11 Volume:7 Page:2178-2185
ISSN:2328-9503
Container-title:Annals of Clinical and Translational Neurology
language:en
Short-container-title:Ann Clin Transl Neurol

Author:

Yu Duo¹^ORCID,Williams George W.²,Aguilar David³⁴,Yamal José‐Miguel¹,Maroufy Vahed¹,Wang Xueying¹,Zhang Chenguang¹,Huang Yuefan¹,Gu Yuxuan¹,Talebi Yashar¹,Wu Hulin¹

Affiliation:

1. Department of Biostatistics & Data Science School of Public Health The University of Texas Health Science Center at Houston (UTHealth) Houston TexasUSA

2. Department of Anesthesiology McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TexasUSA

3. Department of Medicine McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TexasUSA

4. Department of Epidemiology, Human Genetics, and Environmental Sciences School of Public Health University of Texas Health Science Center at Houston Houston TexasUSA

Publisher

Wiley

Subject

Neurology (clinical),General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acn3.51208

Reference21 articles.

1. Spontaneous subarachnoid haemorrhage

2. Subarachnoid Hemorrhage

3. CHARACTERISTICS OF NONTRAUMATIC SUBARACHNOID HEMORRHAGE IN THE UNITED STATES IN 2003

4. Guidelines for the Management of Aneurysmal Subarachnoid Hemorrhage

5. Optimizing Blood Pressure in Neurological Emergencies

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