Articles with "lda" as a keyword



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Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA–LDA models built by hyperspectral data

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Published in 2019 at "Journal of Food Measurement and Characterization"

DOI: 10.1007/s11694-019-00234-0

Abstract: This study aimed to investigate the feasibility of using near-infrared hyperspectral imaging (NIR-HSI) technique for classifying commercial Cheddar cheeses from different brands. Three classification models including a probability based partial least squares discriminant analysis (PLSDA),… read more here.

Keywords: classification; commercial cheddar; cheddar cheeses; lda ... See more keywords
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Predictors of flare in rheumatoid arthritis patients with persistent clinical remission/low disease activity: Data from the TARAC cohort

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Published in 2022 at "Medicine"

DOI: 10.1097/md.0000000000029974

Abstract: To identify predictors of rheumatoid arthritis (RA) disease activity flare in RA patients who achieved low disease activity (LDA) or persistent remission from the observational Thai Army Rheumatoid Arthritis Cohort study. RA patients with persistent… read more here.

Keywords: disease activity; lda; remission; rheumatoid arthritis ... See more keywords
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Reversible Discriminant Analysis

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2881256

Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) have been extended to be a group of classical methods in dimensionality reduction for unsupervised and supervised learning, respectively. However, compared with the PCA, the LDA… read more here.

Keywords: reversible discriminant; analysis; class scatter; lda ... See more keywords
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Sparse Trace Ratio LDA for Supervised Feature Selection.

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Published in 2023 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2023.3264907

Abstract: Classification is a fundamental task in the field of data mining. Unfortunately, high-dimensional data often degrade the performance of classification. To solve this problem, dimensionality reduction is usually adopted as an essential preprocessing technique, which… read more here.

Keywords: lda; classification; supervised feature; feature selection ... See more keywords
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Transferable Linear Discriminant Analysis

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Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2020.2966746

Abstract: Linear discriminant analysis (LDA) has been widely used as the technique of feature exaction. However, LDA may be invalid to address the data from different domains. The reasons are as follows: 1) the distribution discrepancy… read more here.

Keywords: linear discriminant; discriminant analysis; tlda; data different ... See more keywords
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On the Equivalence of Linear Discriminant Analysis and Least Squares Regression.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3208944

Abstract: Studying the relationship between linear discriminant analysis (LDA) and least squares regression (LSR) is of great theoretical and practical significance. It is well-known that the two-class LDA is equivalent to an LSR problem, and directly… read more here.

Keywords: lda; linear discriminant; discriminant analysis; equivalence ... See more keywords
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Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control

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Published in 2017 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2016.2562180

Abstract: In spite of several decades of intensive research and development, the existing algorithms of myoelectric pattern recognition (MPR) are yet to make significant clinical and commercial impact. This study focuses on the one of the… read more here.

Keywords: adaptation framework; framework; cascaded adaptation; lda ... See more keywords
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POS0106 BILAG-2004 LDA AND BST LDA ARE VALID TREAT TO TARGET IN SLE

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Published in 2021 at "Annals of the Rheumatic Diseases"

DOI: 10.1136/annrheumdis-2021-eular.10

Abstract: Low disease activity state has been defined using SLEDAI and used as treatment target in SLE. However, there has not been any such definition using BILAG-2004 index (BILAG-2004).This study was to determine if low disease… read more here.

Keywords: bilag 2004; none declared; activity; bilag ... See more keywords
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Achievement rate and predictive factors of the recommended therapeutical target in patients with axial spondyloarthritis who remain on biological therapy: a prospective cohort study in Spain

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Published in 2022 at "BMJ Open"

DOI: 10.1136/bmjopen-2021-057850

Abstract: Objectives To determine the frequency of sustained remission (R) or low diseas activity (LDA) in patients with axial spondyloarthritis (axSpA) undergoing long-term biological therapy and to analyse predictive factors for achieving these outcomes. Design Prospective,… read more here.

Keywords: lda; patients axial; axial spondyloarthritis; therapy ... See more keywords
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Prolonged clinical remission and low disease activity statuses are associated with better quality of life in systemic lupus erythematosus

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Published in 2019 at "Lupus"

DOI: 10.1177/0961203319862614

Abstract: Objective The objective of this study was to determine the association between disease activity status and health-related quality of life (HRQoL) in systemic lupus erythematosus (SLE) patients. Methods SLE patients in an out-patient clinic during… read more here.

Keywords: systemic lupus; disease activity; disease; lda ... See more keywords
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Current states of prevention of drug-induced gastroduodenal ulcer in real clinical practice: a cross-sectional study.

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Published in 2020 at "Journal of clinical biochemistry and nutrition"

DOI: 10.3164/jcbn.19-66

Abstract: Non-steroidal anti-inflammatory drugs (NSAIDs) or low-dose aspirin (LDA) are the most common causes of drug-induced gastroduodenal ulcer and We investigated preventive treatment with use of concomitant anti-ulcer drugs and the clinical features of gastroduodenal ulcer… read more here.

Keywords: drug induced; lda; gastroduodenal ulcer; induced gastroduodenal ... See more keywords