Results 91 to 100 of about 3,771,811 (275)
Background: Large amounts of information have called for increased computational complexity. Data dimension reduction is therefore critical to preliminary analysis.
Saeedeh Pourahmad +3 more
doaj +1 more source
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover
Fractional vegetation cover (FVC) is an essential parameter for characterizing the land surface vegetation conditions and plays an important role in earth surface process simulations and global change studies.
Bing Wang +7 more
doaj +1 more source
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this study, we applied random forests (RFs), hybrid methods of RF and geostatistics,
Jin Li +3 more
doaj +1 more source
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
wiley +1 more source
Regularized regression methods have attracted much attention in the literature, mainly due to its application in high-dimensional variable selection problems.
Lin Xue, Liqun Wang
doaj +1 more source
Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data
In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rankings
Daniel Conn +3 more
doaj +1 more source
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada +6 more
wiley +1 more source
Covariate Selection for RNA-Seq Differential Expression Analysis with Hidden Factor Adjustment
In RNA-seq data analysis, a primary objective is the identification of differentially expressed genes, which are genes that exhibit varying expression levels across different conditions of interest.
Farzana Noorzahan +2 more
doaj +1 more source

