Results 61 to 70 of about 4,433,966 (292)
Factors Associated with Preferences Regarding Selected Forms of Variable Pay: A Replication and Extension [PDF]
, 2013 This study investigates the relationships among being paid via different variable pay systems, perceptions regarding selected work environment characteristics, and preferences regarding selected variable pay plans.
Inderrieden, Edward +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source
A Complete Proof of an Important Theorem for Variable-to-Variable Length Codes
CoRR, 2023 arXiv admin note: substantial text overlap with arXiv:2204 ...
Wei Yan 0014, Yunghsiang S. Han
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
IEEE Access, 2018 Crash injury severity prediction is a promising research target in traffic safety. Traditionally, various statistical methods were used for modeling crash injury severities. In recent years, machine learningbased methods are becoming popular due to their
Jian Zhang +3 more
doaj +1 more source
Consequences of spatial structure in soil–geomorphic data on the results of machine learning models
Geocarto International, 2023 In this paper, we examined the degree to which inherent spatial structure in soil properties influences the outcomes of machine learning (ML) approaches to predicting soil spatial variability.
Daehyun Kim +6 more
doaj +1 more source
NeuralNetTools: Visualization and Analysis Tools for Neural Networks
Journal of Statistical Software, 2018 Supervised neural networks have been applied as a machine learning technique to identify and predict emergent patterns among multiple variables. A common criticism of these methods is the inability to characterize relationships among variables from a ...
Marcus W. Beck
doaj +1 more source
Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle +5 more
wiley +1 more source
A New Noisy Random Forest Based Method for Feature Selection
Cybernetics and Information Technologies, 2021 Feature selection is an essential pre-processing step in data mining. It aims at identifying the highly predictive feature subset out of a large set of candidate features.
Akhiat Yassine +3 more
doaj +1 more source