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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),…
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Keywords:
classification;
commercial cheddar;
cheddar cheeses;
lda ... See more keywords
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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…
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Keywords:
disease activity;
lda;
remission;
rheumatoid arthritis ... See more keywords
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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…
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Keywords:
reversible discriminant;
analysis;
class scatter;
lda ... See more keywords
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3
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…
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Keywords:
lda;
classification;
supervised feature;
feature selection ... See more keywords
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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…
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Keywords:
linear discriminant;
discriminant analysis;
tlda;
data different ... See more keywords
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2
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…
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Keywords:
lda;
linear discriminant;
discriminant analysis;
equivalence ... See more keywords
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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…
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Keywords:
adaptation framework;
framework;
cascaded adaptation;
lda ... See more keywords
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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…
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Keywords:
bilag 2004;
none declared;
activity;
bilag ... See more keywords
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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,…
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Keywords:
lda;
patients axial;
axial spondyloarthritis;
therapy ... See more keywords
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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…
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Keywords:
systemic lupus;
disease activity;
disease;
lda ... See more keywords
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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…
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Keywords:
drug induced;
lda;
gastroduodenal ulcer;
induced gastroduodenal ... See more keywords