Results 91 to 100 of about 411,069 (264)

MS1Connect: a mass spectrometry run similarity measure. [PDF]

Bioinformatics, 2023
Lin A, Deatherage Kaiser BL, Hutchison JR, Bilmes JA, Noble WS.   +4 more
europepmc   +1 more source

Consensus Standards and Recommendations for Developmental and Cognitive Surveillance, Screening, and Evaluation in Sickle Cell Disease: Executive Summary From the National Alliance of Sickle Cell Centers Neurocognitive Workgroup

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurodevelopmental and neurocognitive difficulties are prevalent among individuals with sickle cell disease and warrant prompt identification and support. This Special Report provides an executive summary of standards and recommendations for surveillance, screening, and evaluation for development and cognition across the lifespan developed by ...
Alyssa M. Schlenz, Donna Murdaugh, Andrew M. Heitzer, Jennifer N. Longoria, Wendy Santos‐Modesitt, Arianna Martin, Judy Cavazos, Jeff Schatz, Catherine R. Hoyt, Alison King, Eboni I. Lance, Steven Hardy, Marsha Treadwell   +12 more
wiley   +1 more source

A multi-dimensional fusion strategy similarity measure method for patent application technology disclosure document. [PDF]

PLoS One, 2023
Zhu M, Li M, Hou K, Wang Z, Long X.
europepmc   +1 more source

Quantifying the informativeness of similarity measurements

J. Mach. Learn. Res., 2017
Summary: In this paper, we describe an unsupervised measure for quantifying the `informativeness' of correlation matrices formed from the pairwise similarities or relationships among data instances. The measure quantifies the heterogeneity of the correlations and is defined as the distance between a correlation matrix and the nearest correlation matrix
Brockmeier, Austin, Mu, Tingting, Ananiadou, Sophia, Goulermas, John Y.   +3 more
openaire   +3 more sources

Development and Implementation of a Disease‐Targeted Storybook as a Clinical Tool for Children With Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin, Usanarat Anurathapan, Rawiwan Roongpraiwan, Potchanee Dandamrongrak, Siriporn Nakhonchai, Pawin Numthavaj, Vilawan Chirdkiatgumchai   +6 more
wiley   +1 more source

Tuning of controller parameters using Pythagorean fuzzy similarity measure for stable and time delayed unstable plants. [PDF]

PeerJ Comput Sci, 2023
Akdağ M, Can MS.
europepmc   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

Multi-attribute decision-making based on novel Fermatean fuzzy similarity measure and entropy measure. [PDF]

Granul Comput, 2023
Alahmadi RA, Ganie AH, Al-Qudah Y, Khalaf MM, Ganie AH.   +4 more
europepmc   +1 more source

Improvement of Sickle Cell Disease Care Mitigates the Healthcare Utilization Induced by Increased Prevalence: Experience of a Tertiary Pediatric Center

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna, Alexia Muresan, Estelle Lecluze, Karine Leduc, Nathalie Fournier, Maria Tamer, Jean‐François Delisle, Jeremi Charbonneau, Annie Viau, Jessica Darilus, Marie‐Joëlle Doré‐Bergeron, Valérie Arsenault, Evelyne Doyon‐Trottier, Stéphanie Forte, Nancy Robitaille, Yves Pastore, Thomas Pincez   +16 more
wiley   +1 more source

Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients. [PDF]

Sci Rep, 2023
Prantikos K, Chatzidakis S, Tsoukalas LH, Heifetz A.   +3 more
europepmc   +1 more source