Predicting Mortality and Functional Outcomes after Ischemic Stroke: External Validation of a Prognostic Model

Journal of Behavioral and Brain Science

ISSN Print: 2160-5866
ISSN Online: 2160-5874
www.scirp.net/journal/jbbs
E-mail: [email protected]

Citations

"Predicting Mortality and Functional Outcomes after Ischemic Stroke: External Validation of a Prognostic Model"
written by Achala Vagal, Heidi Sucharewv, Christopher Lindsell, Dawn Kleindorfer, Kathleen Alwell, Charles J. Moomaw, Daniel Woo, Matthew Flaherty, Pooja Khatri, Opeolu Adeoye, Simona Ferioli, Jason Mackey, Sharyl Martini, Felipe De Los Rios La Rosa F., Brett Kissela,
published by Journal of Behavioral and Brain Science, Vol.8 No.10, 2018

has been cited by the following article(s):

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CrossRef

[1]	Machine learning-based prognostication of mortality in stroke patients
	Heliyon, 2024

[2]	Degree of COVID-19 severity and mortality in stroke: correlation of clinical and laboratory parameters
	BMC neuroscience, 2024

[3]	Lifetime and Acute Stress Predict Functional Outcomes Following Stroke: Findings From the Longitudinal STRONG Study
	Stroke, 2023

[1]	Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach Journal of Stroke and Cerebrovascular Diseases, 2025 DOI:10.1016/j.jstrokecerebrovasdis.2024.108200

[2]	Machine learning-based prognostication of mortality in stroke patients Heliyon, 2024 DOI:10.1016/j.heliyon.2024.e28869

[3]	Machine learning-based prediction of one-year mortality in ischemic stroke patients Oxford Open Neuroscience, 2024 DOI:10.1093/oons/kvae011

[4]	Lifetime and Acute Stress Predict Functional Outcomes Following Stroke: Findings From the Longitudinal STRONG Study Stroke, 2023 DOI:10.1161/STROKEAHA.123.043356

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