Results 61 to 70 of about 863,157 (269)
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard +11 more
wiley +1 more source
Smart precision farming leverages IoT, cloud computing, and big data to optimize agricultural productivity, lower costs, and promote sustainability through digitalization and intelligent methodologies.
Nour Hamad Abu Afouna +1 more
doaj +1 more source
Robust M-Estimators on Spheres
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ko, D.J., Chang, T.
openaire +2 more sources
Asymptotic confidence sets for the jump curve in bivariate regression problems
We construct uniform and point-wise asymptotic confidence sets for the single edge in an otherwise smooth image function which are based on rotated differences of two one-sided kernel estimators.
Bengs, Viktor +2 more
core +1 more source
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
The Impact of Outliers on Net-Benefit Regression Model in Cost-Effectiveness Analysis. [PDF]
Ordinary least square (OLS) in regression has been widely used to analyze patient-level data in cost-effectiveness analysis (CEA). However, the estimates, inference and decision making in the economic evaluation based on OLS estimation may be biased by ...
Yu-Wen Wen +3 more
doaj +1 more source
Statistical inference using SGD
We present a novel method for frequentist statistical inference in $M$-estimation problems, based on stochastic gradient descent (SGD) with a fixed step size: we demonstrate that the average of such SGD sequences can be used for statistical inference ...
Caramanis, Constantine +3 more
core +1 more source
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning
Air quality issues, including health and environmental challenges, have recently become more relevant in urban areas with large populations and active industries.
Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee
doaj +1 more source
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd +3 more
wiley +1 more source

