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Total 4982 results found since Jan 2013.

Predicting new-onset post-stroke depression from real-world data using machine learning algorithm
DiscussionMachine learning models can provide as potential predictive tools for PSD and important factors are identified to alert clinicians for early detection of depression in high-risk stroke patients.
Source: Frontiers in Psychiatry - June 19, 2023 Category: Psychiatry Source Type: research

Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction
Machine learning tools such as random forests provide important opportunities for modeling large, complex modern data generated in medicine. Unfortunately, when it comes to understanding why machine learning mode...
Source: BMC Medical Research Methodology - June 19, 2023 Category: Research Authors: Meredith L. Wallace, Lucas Mentch, Bradley J. Wheeler, Amanda L. Tapia, Marc Richards, Siyu Zhou, Lixia Yi, Susan Redline and Daniel J. Buysse Tags: Research Source Type: research

Thrombosis origin identification of cardioembolism and large artery atherosclerosis by distinct metabolites
Conclusions Six metabolites as potential predictors for distinguishing between cerebral thrombi of CE and LAA origin were identified. The results are useful for understanding the pathogenesis and for secondary stroke prevention.
Source: Journal of NeuroInterventional Surgery - June 16, 2023 Category: Neurosurgery Authors: Li, W., Bai, X., Hao, J., Xu, X., Lin, F., Jiang, Q., Ding, C., Dai, G., Peng, F., Zhang, M., Feng, Y., Wang, J., Chen, X., Xue, T., Guo, X., Fu, Z., Chen, W.-h., Zhang, L., Wang, C., Jiao, L. Tags: Basic science Source Type: research

Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability
This study aimed to identify radiomic features associated with the neovascularization of CAP and construct a prediction model for CAP vulnerability based on radiomic features. CTA data and clinical data of patients with CAPs who underwent CTA and CEUS between January 2018 and December 2021 in Beijing Hospital were retrospectively collected. The data were divided into a training cohort and a testing cohort using a 7:3 split. According to the examination of CEUS, CAPs were dichotomized into vulnerable and stable groups. 3D Slicer software was used to delineate the region of interest in CTA images, and the Pyradiomics package...
Source: Frontiers in Neurology - June 16, 2023 Category: Neurology Source Type: research

Sensors, Vol. 23, Pages 5618: Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation
s D. Zink Atrial fibrillation (AF) is an arrhythmic cardiac disorder with a high and increasing prevalence in aging societies, which is associated with a risk for stroke and heart failure. However, early detection of onset AF can become cumbersome since it often manifests in an asymptomatic and paroxysmal nature, also known as silent AF. Large-scale screenings can help identifying silent AF and allow for early treatment to prevent more severe implications. In this work, we present a machine learning-based algorithm for assessing signal quality of hand-held diagnostic ECG devices to prevent misclassification due to insu...
Source: Sensors - June 15, 2023 Category: Biotechnology Authors: Markus Lueken Michael Gramlich Steffen Leonhardt Nikolaus Marx Matthias D. Zink Tags: Article Source Type: research

A blended neurostimulation protocol to delineate cortico-muscular and spino-muscular dynamics following neuroplastic adaptation
In this paper we propose a novel neurostimulation protocol that provides an intervention-based assessment to distinguish the contributions of different motor control networks in the cortico-spinal system. Specifically, we use a combination of non-invasive brain stimulation and neuromuscular stimulation to probe neuromuscular system behavior with targeted impulse-response system identification. In this protocol, we use an in-house developed human-machine interface (HMI) for an isotonic wrist movement task, where the user controls a cursor on-screen. During the task, we generate unique motor evoked potentials based on trigge...
Source: Frontiers in Neurology - June 15, 2023 Category: Neurology Source Type: research

Stakeholders' Experiences Using Videoconferencing for a Group-Based Stroke Intervention During COVID-19: A Thematic Analysis
CONCLUSIONS AND RELEVANCE: Tailored training protocols may support stakeholders who are participating in telerehabilitation interventions using new software or devices. Future studies that identify specific tailoring variables will advance the development of telerehabilitation training protocols. What This Article Adds: These findings provide stakeholder-identified barriers and facilitators, in addition to stakeholder-informed recommendations, for technology training protocols that may support uptake of telerehabilitation in occupational therapy.PMID:37314955 | DOI:10.5014/ajot.2023.050111
Source: The American Journal of Occupational Therapy - June 14, 2023 Category: Occupational Health Authors: Emily A Kringle Elizabeth R Skidmore M Carolyn Baum Minmei Shih Christine Rogers Joy M Hammel Source Type: research

Development and validation of a prediction model to predict major adverse cardiovascular events in elderly patients undergoing noncardiac surgery: A retrospective cohort study
CONCLUSIONS: This prediction model based on the traditional method could accurately predict the risk of MACEs after noncardiac surgery in elderly patients.PMID:37315395 | DOI:10.1016/j.atherosclerosis.2023.06.008
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Kai Zhang Chang Liu Xiaoling Sha Siyi Yao Zhao Li Yao Yu Jingsheng Lou Qiang Fu Yanhong Liu Jiangbei Cao Jiaqiang Zhang Yitian Yang Weidong Mi Hao Li Source Type: research

Development of gene model combined with machine learning technology to predict for advanced atherosclerotic plaques
CONCLUSION: In present study, our prediction model was established and showed satisfactory predictive power in both training and test datasets. In addition, this is the first study adopted bioinformatics methods combined with machine learning techniques (RF and ANN) to explore and predict for the advanced atherosclerotic plaques. However, further investigations were needed to verify the screened DEGs and predictive effectiveness of this model.PMID:37315377 | DOI:10.1016/j.clineuro.2023.107819
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Lufeng Wang Yiwen Bao Fei Yu Wenxia Zhu Jun Lang Wang Jie Yang Hongrong Xie Dongya Huang Source Type: research

Astrocytic deletion of protein kinase R-like ER kinase (PERK) does not affect learning and memory in aged mice but worsens outcome from experimental stroke
J Neurosci Res. 2023 Jun 14. doi: 10.1002/jnr.25224. Online ahead of print.ABSTRACTAging is associated with cognitive decline and is the main risk factor for a myriad of conditions including neurodegeneration and stroke. Concomitant with aging is the progressive accumulation of misfolded proteins and loss of proteostasis. Accumulation of misfolded proteins in the endoplasmic reticulum (ER) leads to ER stress and activation of the unfolded protein response (UPR). The UPR is mediated, in part, by the eukaryotic initiation factor 2α (eIF2α) kinase protein kinase R-like ER kinase (PERK). Phosphorylation of eIF2α reduces pro...
Source: Cell Research - June 14, 2023 Category: Cytology Authors: Anirudhya Lahiri James C Walton Ning Zhang Neil Billington A Courtney DeVries Gordon P Meares Source Type: research

Six-month outcomes and patterns of recovery for people with lateropulsion following stroke
CONCLUSIONS: Individuals with lateropulsion can recover from lateropulsion and make meaningful functional gains, including some individuals with more severe lateropulsion. Lateropulsion severity is a key indicator of functional outcome post-stroke.IMPLICATIONS FOR REHABILITATIONIndividuals with lateropulsion can make significant gains in terms of mobility and functional abilities by six months post-stroke, learning to compensate for their verticality impairment in standing by loading their non-paretic leg.It is important that stroke survivors with lateropulsion, including those with moderate and severe lateropulsion, are p...
Source: Disability and Rehabilitation - June 14, 2023 Category: Rehabilitation Authors: Melissa Birnbaum Kim Brock Ross Clark Elissa Burton Keith D Hill Source Type: research

Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis
ConclusionML can be used as an assessment tool for predicting the motor function in patients with 3–6 months of post-stroke. Additionally, the study found that ML models with radiomics as a predictive variable were also demonstrated to have good predictive capabilities. This systematic review provides valuable guidance for the future optimization of ML prediction systems that predict poor motor outcomes in stroke patients.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022335260, identifier: CRD42022335260.
Source: Frontiers in Neurology - June 13, 2023 Category: Neurology Source Type: research

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