Comparing Australian heat waves in the CMIP5 models through cluster analysis
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016jd025878
Abstract: Quantitative projections of climate extremes on local to regional scales are highly valuable for planners and decision makers and necessary for effective local climate change adaptation. However, in contrast to the model robustness of simulated… read more here.
Keywords: cluster analysis; heat wave; climatology; model ... See more keywords
Reduced‐order modeling of lead‐acid battery using cluster analysis and orthogonal cluster analysis method
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Energy Research"
DOI: 10.1002/er.4645
Abstract: Real‐time fast simulation of lead‐acid battery (LAB) plays an important role in monitoring, control, optimization, and many other engineering fields. Hence, any improvement toward a reduction in computational time of LAB simulation while maintaining the… read more here.
Keywords: reduced order; analysis; cluster analysis; battery ... See more keywords
Pulmonary MRI and Cluster Analysis Help Identify Novel Asthma Phenotypes
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28152
Abstract: Outside eosinophilia, current clinical asthma phenotypes do not show strong relationships with disease pathogenesis or treatment responses. While chest x‐ray computed tomography (CT) phenotypes have previously been explored, functional MRI measurements provide complementary phenotypic information. read more here.
Keywords: mri cluster; cluster analysis; asthma; analysis help ... See more keywords
New Cluster Analysis Method for Quantitative Dynamic Contrast‐Enhanced MRI Assessing Tumor Heterogeneity Induced by a Tumor‐Microenvironmental Ameliorator (E7130) Treatment to a Breast Cancer Mouse Model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28226
Abstract: Dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) can provide insight into tumor perfusion. However, a method that can quantitatively measure the intra‐tumor distribution of tumor voxel clusters with a distinct range of Ktrans and ve values… read more here.
Keywords: new cluster; cluster analysis; dynamic contrast; tumor ... See more keywords
Cluster analysis of tropical cyclones affecting the Taiwan Strait
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Climatology"
DOI: 10.1002/joc.6048
Abstract: Automatic weather station (AWS) observations are used to select tropical cyclones (TCs) affecting the Taiwan Strait during 2007–2016. Applying these data, the influence of TCs on the Taiwan Strait is measured and TCs with weak… read more here.
Keywords: affecting taiwan; tropical cyclones; tcs; cluster analysis ... See more keywords
Dominant United States Cold‐Season near surface temperature anomaly patterns derived from kernel methods
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Climatology"
DOI: 10.1002/joc.6965
Abstract: Cold season (December – February) 2‐m temperatures have a far‐reaching impact on critical infrastructure; medium or long‐term predictability would thus be an invaluable asset. However, a better understanding of the most prevalent underlying temperature patterns… read more here.
Keywords: analysis; cold season; cluster analysis; temperature ... See more keywords
Predicting healthcare outcomes in prematurely born infants using cluster analysis
Sign Up to like & getrecommendations! Published in 2018 at "Pediatric Pulmonology"
DOI: 10.1002/ppul.24050
Abstract: Prematurely born infants are at high risk of respiratory morbidity following neonatal unit discharge, though prediction of outcomes is challenging. We have tested the hypothesis that cluster analysis would identify discrete groups of prematurely born… read more here.
Keywords: born infants; prematurely born; predicting healthcare; cluster analysis ... See more keywords
Cluster Analysis of Untargeted Metabolomic Experiments.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8757-3_16
Abstract: Untargeted metabolite profiling based upon LC-MS methodology can be used to identify unique metabolic phenotypes associated with stress, disease or environmental exposure of cells using mathematical clustering. Here, we show how unsupervised data analysis is… read more here.
Keywords: statistical computing; metabolomic experiments; cluster analysis; analysis ... See more keywords
Robust Earthquake Cluster Analysis Based on K-Nearest Neighbor Search
Sign Up to like & getrecommendations! Published in 2020 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-020-02618-6
Abstract: Grouping of earthquakes into distinct clusters is applied to improve mechanism identification and pattern recognition for active seismicity in a region. One of the important issues concerning earthquake data clustering is determining the optimum number… read more here.
Keywords: nearest neighbor; cluster analysis; method; based nearest ... See more keywords
Classification and prognostic factors of residual symptoms after minimally invasive lumbar decompression surgery using a cluster analysis: a 5-year follow-up cohort study
Sign Up to like & getrecommendations! Published in 2021 at "European Spine Journal"
DOI: 10.1007/s00586-021-06754-y
Abstract: Residual symptoms indicating incomplete remission of lower leg numbness or low back pain may occur after spine surgery. The purpose was to elucidate the pattern of residual symptoms 5 years after minimally invasive lumbar decompression… read more here.
Keywords: decompression surgery; cluster analysis; residual symptoms;
Hierarchical cluster analysis of cytokine profiles reveals a cutaneous vasculitis-associated subgroup in dermatomyositis
Sign Up to like & getrecommendations! Published in 2020 at "Clinical Rheumatology"
DOI: 10.1007/s10067-020-05339-2
Abstract: Dermatomyositis (DM) is a chronic inflammatory autoimmune disease with notable heterogeneity. The intent of this study was to explore the difference in cytokine profiles of different subsets in DM based on the disease activity and… read more here.
Keywords: vasculitis; cytokine; cluster analysis; subset ... See more keywords