Results 31 to 40 of about 635,609 (243)
On univariate optimal partitioning by complete enumeration
MethodsX, 2023 Partitioning a set of elements into a given number of classes to find a globally optimal solution can be challenging due to the combinatorial explosion of the problem size.
Philippe Aubry
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić +5 more
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Mimbar Sekolah DasarThe integration of digital learning tools is increasingly shaping modern education, driven by technological advancements and the need for interactive teaching methods. These tools are believed to enhance student engagement and motivation, particularly in
Evia Nursanti Wigati +2 more
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BrainStat: A toolbox for brain-wide statistics and multimodal feature associations
NeuroImage, 2023 Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological ...
Sara Larivière +11 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz +7 more
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Wave Height Forecasting in the Bay of Bengal Using Multivariate Hybrid Deep Learning Models
Journal of Marine Science and EngineeringThe development in coastal engineering and maritime transport demands accurate wave height prediction. In this study, hybrid deep learning models, including CNN-LSTM, CNN-BiLSTM, CNN-GRU, and CNN-BiGRU, are employed to develop regional multivariate wave ...
Phyusin Thet +3 more
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, 2010 In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin tree, where for each continuous attribute, the best split is found using convex optimization.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen +5 more
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International Journal of Health Geographics, 2017 Background Precise quantification of health service utilisation is important for the estimation of disease burden and allocation of health resources. Current approaches to mapping health facility utilisation rely on spatial accessibility alone as the ...
Paul O. Ouma +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source