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Critical Care Medicine
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February 14, 2024
Fixed- Versus Variable-Dose Prothrombin Complex Concentrate for the Emergent Reversal of Vitamin K Antagonists: A Systematic Review and Meta-Analysis
Amr Alwakeal, Matthew B Maas, Andrew M Naidech, et al.
Neurology
|
November 20, 2016
Evolving use of seizure medications after intracerebral hemorrhage: A multicenter study
Andrew M Naidech, Jennifer Beaumont, Babak Jahromi, et al.
Neurosurgical Focus
|
March 3, 2009
Endovascular options in the treatment of delayed ischemic neurological deficits due to cerebral vasospasm
Christopher S Eddleman, Michael C Hurley, Andrew M Naidech, et al.
Frontiers in Neurology
|
July 30, 2021
Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing
Christina M Lineback, Ravi Garg, Elissa Oh, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 3, 2021
AllergyMap: An Open Source Corpus of Allergy Mention Normalizations
Amy Y Wang, John D Osborne, Maria I Danila, et al.
Neurocritical Care
|
March 31, 2018
Fever Burden and Health-Related Quality of Life After Intracerebral Hemorrhage
Robin A Bush, Jennifer L Beaumont, Eric M Liotta, et al.
Critical Care Medicine
|
March 17, 2021
Early Seizures Are Predictive of Worse Health-Related Quality of Life at Follow-Up After Intracerebral Hemorrhage
Andrew M Naidech, Bradley Weaver, Matthew Maas, et al.
Neurosurgery
|
October 14, 2006
Higher hemoglobin is associated with less cerebral infarction, poor outcome, and death after subarachnoid hemorrhage
Andrew M Naidech, Jessica Drescher, Michael L Ault, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|
September 12, 2018
Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning
Ravi Garg, Shyam Prabhakaran, Jane L Holl, et al.
Computers, Informatics, Nursing : CIN
|
February 2, 2023
Fall Risk Prediction Models During the Initial COVID-19 Surge: Could Predictive Analytics Be Used in a Resource-Constrained Environment?
Lea Ann Arnold, Chad Carroll, Bill Eberlein, et al.
Page
of 13
Search research articles
Search
Showing results (21-30 of 122) with videos related to
Sort By:
Page
of 13
Critical Care Medicine
|
February 14, 2024
Fixed- Versus Variable-Dose Prothrombin Complex Concentrate for the Emergent Reversal of Vitamin K Antagonists: A Systematic Review and Meta-Analysis
Amr Alwakeal, Matthew B Maas, Andrew M Naidech, et al.
Neurology
|
November 20, 2016
Evolving use of seizure medications after intracerebral hemorrhage: A multicenter study
Andrew M Naidech, Jennifer Beaumont, Babak Jahromi, et al.
Neurosurgical Focus
|
March 3, 2009
Endovascular options in the treatment of delayed ischemic neurological deficits due to cerebral vasospasm
Christopher S Eddleman, Michael C Hurley, Andrew M Naidech, et al.
Frontiers in Neurology
|
July 30, 2021
Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing
Christina M Lineback, Ravi Garg, Elissa Oh, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 3, 2021
AllergyMap: An Open Source Corpus of Allergy Mention Normalizations
Amy Y Wang, John D Osborne, Maria I Danila, et al.
Neurocritical Care
|
March 31, 2018
Fever Burden and Health-Related Quality of Life After Intracerebral Hemorrhage
Robin A Bush, Jennifer L Beaumont, Eric M Liotta, et al.
Critical Care Medicine
|
March 17, 2021
Early Seizures Are Predictive of Worse Health-Related Quality of Life at Follow-Up After Intracerebral Hemorrhage
Andrew M Naidech, Bradley Weaver, Matthew Maas, et al.
Neurosurgery
|
October 14, 2006
Higher hemoglobin is associated with less cerebral infarction, poor outcome, and death after subarachnoid hemorrhage
Andrew M Naidech, Jessica Drescher, Michael L Ault, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|
September 12, 2018
Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning
Ravi Garg, Shyam Prabhakaran, Jane L Holl, et al.
Computers, Informatics, Nursing : CIN
|
February 2, 2023
Fall Risk Prediction Models During the Initial COVID-19 Surge: Could Predictive Analytics Be Used in a Resource-Constrained Environment?
Lea Ann Arnold, Chad Carroll, Bill Eberlein, et al.
Page
of 13