Missing data is a significant issue in various fields of research. Data imputation can effectively address the problems associated with missing data. This study focuses on using the regression ...
ABSTRACT: This paper presents a new anomaly detection scheme based on modified DFT Adaptive Neural Network (ADALINE) for the determination of time skew error and ...
Electronic health record (EHR) systems have become widely adopted, prompting a growing interest in leveraging EHR data for ...
Real-world data sets are seldom perfect and often come with missing values or incomplete information. These faults may be due to the human element (incorrectly filled or unfilled surveys) or ...
Abstract: This paper introduces a non-parametric approximation framework for imputation-by-regression on data with missing entries. The framework, coined kernel regression imputation in manifolds ...
1 Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands. 2 Institute of Medical Informatics and Statistics, Kiel University, Kiel, Germany. 3 ...
The Swedish National Monitoring Programme for Contaminants (SNMPC) in freshwater biota has various goals and large scope (citation needed). Our main goal in this study was to explore the viability of ...
Correspondence to: Zhongheng Zhang, MMed. 351#, Mingyue Road, Jinhua 321000, China. Email: zh_zhang1984@hotmail.com. Zhongheng Zhang, MMed. Abstract: Complete case analysis is widely used for handling ...
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