Results 41 to 50 of about 2,525,472 (291)

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine   +14 more
wiley   +1 more source

Electron density retrieval from truncated Radio Occultation GNSS data [PDF]

open access: yes, 2019
This paper summarizes the definition and validation of two complementary new strategies, to invert incomplete Global Navigation Satellite System Radio-Occultation (RO) ionospheric measurements, such as the ones to be provided by the future EUMETSAT Polar
Cardellach Galí, Estel   +3 more
core   +2 more sources

Finding a Cluster in Incomplete Data

open access: yesCoRR, 2022
We study two variants of the fundamental problem of finding a cluster in incomplete data. In the problems under consideration, we are given a multiset of incomplete $d$-dimensional vectors over the binary domain and integers $k$ and $r$, and the goal is to complete the missing vector entries so that the multiset of complete vectors either contains (i ...
Eduard Eiben   +4 more
openaire   +4 more sources

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric 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

Modeling Incomplete Longitudinal Data [PDF]

open access: yes, 2004
This article presents a review of popular parametric, semiparametric and ad-hoc approaches for analyzing incomplete longitudinal ...
Demirtas, Hakan
core   +2 more sources

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

Weighted Fuzzy Clustering Algorithm Based on Dynamic Interval

open access: yesJisuanji kexue yu tansuo, 2020
Clustering is widely used in data mining and data analysis, and a great many of troubles have been caused by incomplete data in clustering. Aiming at the inaccurate problem of filling missing attributes with estimation method in incomplete data ...
LUO Hao, WANG Yanjie, NIU Minghang, QIU Cunyue, ZHANG Li
doaj   +1 more source

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

open access: yesPediatric 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

Comparison of Algorithms for Clustering Incomplete Data

open access: yesFoundations of Computing and Decision Sciences, 2014
The missing values are not uncommon in real data sets. The algorithms and methods used for the data analysis of complete data sets cannot always be applied to missing value data.
Matyja Artur, Siminski Krzysztof
doaj   +1 more source

Three-Way Ensemble Clustering for Incomplete Data

open access: yesIEEE Access, 2020
There are many incomplete data sets in all fields of scientific studies due to random noise, data lost, limitations of data acquisition, data misunderstanding etc. Most of the clustering algorithms cannot be used for incomplete data sets directly because
Pingxin Wang, Xiangjian Chen
doaj   +1 more source

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