Results 31 to 40 of about 4,202,897 (320)

Identifying research priorities for effective retention strategies in clinical trials

Trials, 2017
Background The failure to retain patients or collect primary-outcome data is a common challenge for trials and reduces the statistical power and potentially introduces bias into the analysis. Identifying strategies to minimise missing data was the second
Anna Kearney, Anne Daykin, Alison R. G. Shaw, Athene J. Lane, Jane M. Blazeby, Mike Clarke, Paula Williamson, Carrol Gamble   +7 more
doaj   +1 more source

Data-Driven Method for Missing Harmonic Data Completion

IEEE Access, 2021
In large-scale applications, missing harmonic data during transmission is inevitable. This paper presents a novel approach for the completion of missing harmonic data based on a data-driven approach.
Rui Xu, Xiaoyang Ma, Runze Zhou, Jinshuai Zhao, Ying Wang   +4 more
doaj   +1 more source

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection

Vietnam Journal of Computer Science, 2023
In intelligent information systems data play a critical role. The issue of missing data is one of the commonplace problems occurring in data collected in the real world. The problem stems directly from the very nature of data collection.
Mateusz Szczepański, Marek Pawlicki, Rafał Kozik, Michał Choraś   +3 more
doaj   +1 more source

Applying mesh conformation on shape analysis with missing data [PDF]

, 2004
A mesh conformation approach that makes use of deformable generic meshes has been applied to establishing correspondences between 3D shapes with missing data.
Ju, X., Mao, Z., McFarlane, N., Siebert, J.P., Tillett, R., Wu, J.   +5 more
core   +1 more source

A Tensor-Based Method for Completion of Missing Electromyography Data

IEEE Access, 2019
This paper discusses the recovery of missing data in surface electromyography (sEMG) signals that arise during the acquisition process. Missing values in the EMG signals occur due to either the disconnection of electrodes, artifacts and muscle fatigue or
Muhammad Akmal, Syed Zubair, Mads Jochumsen, Ernest Nlandu Kamavuako, Imran Khan Niazi   +4 more
doaj   +1 more source

Missing Categorical Data Imputation and Individual Observation Level Imputation

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2014
Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values often focuses on regression models.
Pavel Zimmermann, Petr Mazouch, Klára Hulíková Tesárková   +2 more
doaj   +1 more source

Robust recognition and segmentation of human actions using HMMs with missing observations [PDF]

, 2005
This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation.
Bui, Hung H., Peursum, Patrick, Venkatesh, Svetha, West, Geoff   +3 more
core   +3 more sources

Block-Conditional Missing at Random Models for Missing Data [PDF]

, 2010
Two major ideas in the analysis of missing data are (a) the EM algorithm [Dempster, Laird and Rubin, J. Roy. Statist. Soc. Ser. B 39 (1977) 1--38] for maximum likelihood (ML) estimation, and (b) the formulation of models for the joint distribution of the
John D. Kalbfleisch, Roderick J. A. Little, Roderick J. A. Little Is, Yan Zhou   +3 more
core   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale, Alessandro Crocoli, Giuseppe Maria Milano, Pierluigi Di Paolo, Francesca Diomedi Camassei, Ida Russo, Annalisa Serra   +6 more
wiley   +1 more source