Stroke prognostic scores and data-driven prediction of clinical outcomes after acute ischemic stroke
K Matsumoto, Y Nohara, H Soejima, T Yonehara… - Stroke, 2020 - Am Heart Assoc
Background and Purpose—Several stroke prognostic scores have been developed to
predict clinical outcomes after stroke. This study aimed to develop and validate novel data …
predict clinical outcomes after stroke. This study aimed to develop and validate novel data …
Clinical prediction models for mortality and functional outcome following ischemic stroke: a systematic review and meta-analysis
Objective We aim to identify and critically appraise clinical prediction models of mortality and
function following ischaemic stroke. Methods Electronic databases, reference lists, citations …
function following ischaemic stroke. Methods Electronic databases, reference lists, citations …
Thinking about the future: a review of prognostic scales used in acute stroke
BA Drozdowska, S Singh, TJ Quinn - Frontiers in neurology, 2019 - frontiersin.org
Background: There are many prognostic scales that aim to predict functional outcome
following acute stroke. Despite considerable research interest, these scales have had …
following acute stroke. Despite considerable research interest, these scales have had …
Machine learning-based three-month outcome prediction in acute ischemic stroke: a single cerebrovascular-specialty hospital study in South Korea
D Park, E Jeong, H Kim, HW Pyun, H Kim, YJ Choi… - Diagnostics, 2021 - mdpi.com
Background: Functional outcomes after acute ischemic stroke are of great concern to
patients and their families, as well as physicians and surgeons who make the clinical …
patients and their families, as well as physicians and surgeons who make the clinical …
Validating a predictive model of acute advanced imaging biomarkers in ischemic stroke
Background and Purpose—Advanced imaging to identify tissue pathophysiology may
provide more accurate prognostication than the clinical measures used currently in stroke …
provide more accurate prognostication than the clinical measures used currently in stroke …
Predicting early mortality of acute ischemic stroke: score-based approach
T Gattringer, A Posekany, K Niederkorn, M Knoflach… - Stroke, 2019 - Am Heart Assoc
Background and Purpose—Several risk factors are known to increase mid-and long-term
mortality of ischemic stroke patients. Information on predictors of early stroke mortality is …
mortality of ischemic stroke patients. Information on predictors of early stroke mortality is …
Predicting 6-month unfavorable outcome of acute ischemic stroke using machine learning
X Li, XD Pan, CL Jiang, MR Wu, YK Liu… - Frontiers in …, 2020 - frontiersin.org
Background and Purpose: Accurate prediction of functional outcome after stroke would
provide evidence for reasonable post-stroke management. This study aimed to develop a …
provide evidence for reasonable post-stroke management. This study aimed to develop a …
Machine learning–based model for prediction of outcomes in acute stroke
Background and Purpose—The prediction of long-term outcomes in ischemic stroke patients
may be useful in treatment decisions. Machine learning techniques are being increasingly …
may be useful in treatment decisions. Machine learning techniques are being increasingly …
Prediction of clinical outcome in patients with large-vessel acute ischemic stroke: performance of machine learning versus SPAN-100
BACKGROUND AND PURPOSE: Traditional statistical models and pretreatment scoring
systems have been used to predict the outcome for acute ischemic stroke patients (AIS). Our …
systems have been used to predict the outcome for acute ischemic stroke patients (AIS). Our …
Predicting long-term outcome after acute ischemic stroke: a simple index works in patients from controlled clinical trials
Background and Purpose—An early and reliable prognosis for recovery in stroke patients is
important for initiation of individual treatment and for informing patients and relatives. We …
important for initiation of individual treatment and for informing patients and relatives. We …