Related references
Note: Only part of the references are listed.Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network
Qiong Wang et al.
PLOS ONE (2020)
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
Agni Orfanoudaki et al.
PLOS ONE (2020)
A Stroke Risk Detection: Improving Hybrid Feature Selection Method
Yonglai Zhang et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2019)
Using machine learning models to improve stroke risk level classification methods of China national stroke screening
Xuemeng Li et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
2017 Cardiovascular and Stroke Endpoint Definitions for Clinical Trials
Karen A. Hicks et al.
CIRCULATION (2018)
Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms
Yeliz Karaca et al.
COMPLEXITY (2018)
Blood biomarkers in ischemic stroke: potential role and challenges in clinical practice and research
Konstantinos Makris et al.
CRITICAL REVIEWS IN CLINICAL LABORATORY SCIENCES (2018)
Clopidogrel and Aspirin in Acute Ischemic Stroke and High-Risk TIA
S. Claiborne Johnston et al.
NEW ENGLAND JOURNAL OF MEDICINE (2018)
A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors
Eunjeong Park et al.
FRONTIERS IN NEUROLOGY (2018)
Optimal classification trees
Dimitris Bertsimas et al.
MACHINE LEARNING (2017)
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Stephen F. Weng et al.
PLOS ONE (2017)
Fuzzy clustering: More than just fuzzification
Frank Klawonn et al.
FUZZY SETS AND SYSTEMS (2015)
GDF10 is a signal for axonal sprouting and functional recovery after stroke
Songlin Li et al.
NATURE NEUROSCIENCE (2015)
Global and regional burden of first-ever ischaemic and haemorrhagic stroke during 1990–2010: findings from the Global Burden of Disease Study 2010
Rita V Krishnamurthi et al.
Lancet Global Health (2013)
Creating ensembles of classifiers via fuzzy clustering and deflection
Huaxiang Zhang et al.
FUZZY SETS AND SYSTEMS (2010)
Cognitive status, stroke symptom reports, and modifiable risk factors among individuals with no diagnosis of stroke or transient ischemic attack in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study
Virginia G. Wadley et al.
STROKE (2007)
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
LI Kuncheva et al.
MACHINE LEARNING (2003)
Guidelines for the early management of patients with ischemic stroke - A scientific statement from the Stroke Council of the American Stroke Association
HP Adams et al.
STROKE (2003)
Hypertensive caudate hemorrhage prognostic predictor, outcome, and role of external ventricular drainage
PC Liliang et al.
STROKE (2001)