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Total 345 results found since Jan 2013.
Fuzzy cognitive map based approach for determining the risk of ischemic stroke
In this study, the soft computing method known as fuzzy cognitive mapping was proposed for diagnosis of the risk of ischemic stroke. Non-linear Hebbian learning method was used for fuzzy cognitive maps training. In the proposed method, the risk rate for each person was determined based on the opinions of the neurologists. The accuracy of the proposed model was tested using 10-fold cross-validation, for 110 real cases, and the results were compared with those of support vector machine and K-nearest neighbours. The proposed system showed a superior performance with a total accuracy of (93.6 ± 4.5)%. The da...
Source: IET Systems Biology - November 29, 2019 Category: Biology Source Type: research
Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach
CONCLUSION: The stroke risk in patients with epilepsy was relatively high and could be predicted based on comorbidities such as diabetes mellitus, hypertension, heart failure, and alcohol dependence. Knowing and addressing these factors may help reduce the risk of stroke in patients with epilepsy.PMID:34325155 | DOI:10.1016/j.yebeh.2021.108211
Source: Epilepsy and Behaviour - July 29, 2021 Category: Neurology Authors: Karel Kostev Tong Wu Yue Wang Kal Chaudhuri Christian Tanislav Source Type: research
Carotid intima media thickness measurements coupled with stroke severity strongly predict short-term outcome in patients with acute ischemic stroke: a machine learning study
In conclusion, high values of cIMT and NIHSS at admission strongly predict short-term functional impairment as well as mortality three months after IS, underscoring the importance of those measurements to predict clinical IS outcome.
Source: Metabolic Brain Disease - August 4, 2021 Category: Neurology Source Type: research
Ephrin-B2 PB-mononuclear cells reduce early post-stroke deficit in diabetic mice but not long-term memory impairment
CONCLUSIONS: Intravenous PB-MNC+ administration the day after stroke induction in diabetic mice improved sensorimotor deficit and reduced infarct volume at the short term, but was unable to prevent long-term memory loss. To what extent diabetes impacts on cell therapy efficacy will have to be specifically investigated in the future. Including vascular risk factors systematically in preclinical studies of cell therapy will provide a comprehensive understanding of the mechanisms potentially limiting cell efficacy and also to identify good and bad responders, particularly in the long term.PMID:34520725 | DOI:10.1016/j.expneurol.2021.113864
Source: Experimental Neurology - September 14, 2021 Category: Neurology Authors: Adrien Cogo Gabrielle Mangin Sarah Mouazan Tatiana Merkulova-Rainon Jean-Pierre Riveline Jean-Fran çois Gautier Mathilde Varret Nathalie Kubis Source Type: research
IJERPH, Vol. 19, Pages 3182: Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment
Conclusions: It is possible to create a predictive model of mortality for patients with ischaemic stroke from which important advances can be made towards optimising the quality and efficiency of care. The model results are available within a few minutes of admission and would provide a valuable complementary resource for the neurologist.
Source: International Journal of Environmental Research and Public Health - March 8, 2022 Category: Environmental Health Authors: Mar ía Carmen Lea-Pereira Laura Amaya-Pascasio Patricia Mart ínez-Sánchez Mar ía del Mar Rodríguez Salvador Jos é Galván-Espinosa Luis T éllez-Ramírez Fernando Reche-Lorite Mar ía-José Sánchez Juan Manuel Garc ía-Torrecillas Tags: Article Source Type: research
Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients
In conclusion, the nomogram can be used for individualized preoperative prediction of stroke risk in RA patients.PMID:34081620 | DOI:10.18632/aging.203071
Source: Aging - June 3, 2021 Category: Biomedical Science Authors: Fangran Xin Lingyu Fu Bowen Yang Haina Liu Tingting Wei Cunlu Zou Bingqing Bai Source Type: research
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
This study proposes an attention-channel-based UNet deep learning (DL) model that identifies the carotid plaques in the internal carotid artery (ICA) and common carotid artery (CCA) images. Our experiments consist of 970 ICA images from the UK, 379 CCA images from diabetic Japanese patients, and 300 CCA images from post-menopausal women from Hong Kong. We combined both CCA images to form an integrated database of 679 images. A rotation transformation technique was applied to 679 CCA images, doubling the database for the experiments. The cross-validation K5 (80% training: 20% testing) protocol was applied for accuracy deter...
Source: Atherosclerosis - October 26, 2022 Category: Cardiology Authors: Pankaj K Jain Abhishek Dubey Luca Saba Narender N Khanna John R Laird Andrew Nicolaides Mostafa M Fouda Jasjit S Suri Neeraj Sharma Source Type: research
For the good of your heart: Keep holding the salt
Your doctor has probably told you to cut back on salt, especially if you have high blood pressure. For years we’ve understood that excess salt raises blood pressure and increases deaths from heart disease. The guilty element is sodium, which pairs with chloride to form common salt. So when the journal Lancet recently published a study reporting that low dietary sodium was associated with an increased risk of heart disease and death, controversy was predictable.
A wealth of rigorous scientific studies supports a link between excess sodium intake and high blood pressure, heart attacks, and strokes. Yet the Lancet paper rep...
Source: New Harvard Health Information - July 11, 2016 Category: Consumer Health News Authors: Naomi D. L. Fisher, MD Tags: Healthy Eating Heart Health Hypertension and Stroke Prevention Source Type: news
Non-Vitamin K Oral Anticoagulants for Stroke Prevention in Special Populations with Atrial Fibrillation
AbstractAtrial fibrillation (AF) is associated with an increased risk of ischemic stroke or systemic embolism compared with normal sinus rhythm. These strokes may efficiently be prevented in patients with risk factors using oral anticoagulant therapy, with either vitamin K antagonists (VKAs) or non-vitamin K antagonist oral anticoagulants (NOACs) (i.e., direct thrombin inhibitors or direct factor Xa inhibitors). Owing to their specific risk profiles, some AF populations may have increased risks of both thromboembolic and bleeding events. These AF patients may be denied oral anticoagulants, whilst evidence shows that the ab...
Source: Advances in Therapy - May 10, 2017 Category: Drugs & Pharmacology Source Type: research
Recurrent Hypoglycemia Exacerbates Cerebral Ischemic Damage in Diabetic Rats via Enhanced Post-Ischemic Mitochondrial Dysfunction
AbstractDiabetes significantly increases the risk of stroke and post-stroke mortality. Recurrent hypoglycemia (RH) is common among diabetes patients owing to glucose-lowering therapies. Earlier, we showed that RH in a rat model of insulin-dependent diabetes exacerbates cerebral ischemic damage. Impaired mitochondrial function has been implicated as a central player in the development of cerebral ischemic damage. Hypoglycemia is also known to affect mitochondrial functioning. The present study tested the hypothesis that prior exposure of insulin-treated diabetic (ITD) rats to RH exacerbates brain damage via enhanced post-is...
Source: Translational Stroke Research - March 22, 2018 Category: Neurology Source Type: research
Insights Into Women and Stroke Risk
TUESDAY, Dec. 11, 2018 -- You might be surprised to learn that stroke is the number three killer of women.
Women and men have many of the same risk factors for stroke, but some -- like high blood pressure, migraine with aura, diabetes and stress --...
Source: Drugs.com - Daily MedNews - December 11, 2018 Category: General Medicine Source Type: news
