Results 91 to 100 of about 25,782,438 (282)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes +75 more
wiley +1 more source
Constructing Indonesian Composite Infrastrcuture Index using Principal Component Analysis.
Journal of Indonesian Applied Economics, 2022 This article aims to develop Indonesia's economic infrastructure indices, including transportation, telecommunications, education, and financial. The index employs indicators from 2018 at the regency level using Principal Component Analysis (PCA) to ...
FIRMAN HERDIANSAH, Farah Pangestuty
doaj
Application of Principal Component Analysis (PCA) to Medical Data
Indian Journal of Science and Technology, 2017 Objectives: To apply Principal Component Analysis to medical data to explore the factors thought to be very important in increasing the risk of Ischemic Heart Diseases. Methods/Statistical Analysis: PCA was performed in R-mode using correlation and covariance for medical data.
Barkatullah Qureshi +5 more
openaire +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Process Monitoring via Key Principal Components and Local Information Based Weights
IEEE Access, 2019 There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent ...
Bing Song +5 more
doaj +1 more source
Face Detection using Principal Component Analysis (PCA)
International Journal of Computer Applications, 2014 Face Detection makes it possible to use the facial images of a person to authenticate him into secure system, for criminal identification, for passport verification etc. It is done by Principal Component Analysis (PCA).Face images are projected onto a face space that encodes best variation among known face images.
Tarun Metta, Jatin Agarwal, Pushpak Dave
openaire +1 more source
Uncorrelated components derived from Principal Components Analysis (PCA).
, 2012 Uncorrelated components derived from Principal Components Analysis (PCA).
Megan Murray (63415) +1 more
core +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source