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 …

Clinical prediction models for mortality and functional outcome following ischemic stroke: a systematic review and meta-analysis

M Fahey, E Crayton, C Wolfe, A Douiri - PloS one, 2018 - journals.plos.org
Objective We aim to identify and critically appraise clinical prediction models of mortality and
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 …

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 …

Validating a predictive model of acute advanced imaging biomarkers in ischemic stroke

A Bivard, C Levi, L Lin, X Cheng, R Aviv, NJ Spratt… - Stroke, 2017 - Am Heart Assoc
Background and Purpose—Advanced imaging to identify tissue pathophysiology may
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 …

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 …

Machine learning–based model for prediction of outcomes in acute stroke

JN Heo, JG Yoon, H Park, YD Kim, HS Nam, JH Heo - Stroke, 2019 - Am Heart Assoc
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 …

Prediction of clinical outcome in patients with large-vessel acute ischemic stroke: performance of machine learning versus SPAN-100

B Jiang, G Zhu, Y Xie, JJ Heit, H Chen… - American Journal …, 2021 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Traditional statistical models and pretreatment scoring
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

IR König, A Ziegler, E Bluhmki, W Hacke, PMW Bath… - Stroke, 2008 - Am Heart Assoc
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 …