Results 21 to 30 of about 169,803 (261)
Discriminant analysis of variational pulsometry parameters
Российский технологический журнал, 2020 The article is devoted to an important applied problem - the exploration of heart rate variability using linear discriminant analysis. Statistical methods are often used in modern medicine, especially in cardiology.
U. I. Silkina, V. A. Balandin
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Low-Rank Kernel-Based Semisupervised Discriminant Analysis
Applied Computational Intelligence and Soft Computing, 2016 Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu +3 more
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Locality-Preserving Multiprojection Discriminant Analysis
MathematicsLinear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. However, its discriminative performance is still severely limited by the following factors.
Jiajun Ma
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ESG companies classification: application to Nasdaq companies
Finance, Markets and Valuation, 2019 This paper analyzes the discrimination of sustainable companies taking into account their overall ESG score. For this, a linear discriminant model is described through economic and financial variables, the size of the companies, as well as their ...
Oliver-Muncharaz, Javier
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Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
FEBS Open Bio, EarlyView.This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Stochastic Discriminant Analysis [PDF]
2015 International Joint Conference on Neural Networks (IJCNN), 2015 In this paper, we consider a linear supervised dimension reduction method for classification settings: Stochastic Discriminant Analysis. This method matches point similarities in the projection space with those in a response space. These similarities are represented by t-distributed joint pairwise probabilities.
Mika Juuti +2 more
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Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review
Advanced Functional Materials, EarlyView.Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera +6 more
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Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Advanced Healthcare Materials, EarlyView.Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
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Fuzzy Discriminant Analysis with Application
المجلة العراقية للعلوم الاحصائيةIn the current research, two methods of data classification were used, namely; the Linear Discriminant analysis (LDA) and the Fuzzy Discriminant Analysis (FDA).
Rafal Talal Saadi, Alla A. Hamoodat
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