Results 81 to 90 of about 28,681,192 (295)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Transitioning from pediatric to adult care is a high‐risk period for individuals with sickle cell disease (SCD). An initial observation at one academic medical center suggested a sex‐based disparity in clinic populations, prompting a national investigation.
Laurie J. Duckworth +5 more
wiley +1 more source
A Feature-Selective Independent Component Analysis Method for Functional MRI
International Journal of Biomedical Imaging, 2007 In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance ...
Yi-Ou Li, Tülay Adali, Vince D. Calhoun
doaj +1 more source
Independent component analysis based on quantum particle swarm optimization
Egyptian Informatics Journal, 2018 One of the Digital Signal Processing problems is a Blind Source Separation (BSS). There are some of methods are employed to solve this problem which are so-called Independent Component Analysis (ICA) which based on the statistical distribution of the ...
Nidaa AbdulMohsin Abbas +1 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
Estimation of the Number of Endmembers in Hyperspectral Images Using Agglomerative Clustering
Remote Sensing, 2020 Many tasks in hyperspectral imaging, such as spectral unmixing and sub-pixel matching, require knowing how many substances or materials are present in the scene captured by a hyperspectral image.
José Prades +3 more
doaj +1 more source
Independent component analysis for multivariate functional data
, 2020 We extend two methods of independent component analysis, fourth order blind identification and joint approximate diagonalization of eigen-matrices, to vector-valued functional data.
Oja, Hannu +3 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Expectation-maximization approaches to independent component analysis
, 2004 Expectation-Maximization (EM) algorithms for independent component analysis are presented in this paper. For super-Gaussian sources, a variational method is employed to develop an EM algorithm in closed form for learning the mixing matrix and inferring ...
Zhong, MJ, Tang, HW, Tang, YY
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Identifying Rodent Resting-State Brain Networks with Independent Component Analysis
Frontiers in Neuroscience, 2017 Rodent models have opened the door to a better understanding of the neurobiology of brain disorders and increased our ability to evaluate novel treatments.
Dusica Bajic +12 more
doaj +1 more source