Results 81 to 90 of about 199,171 (299)

Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.

PLoS ONE, 2022
A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or irregularly sampled data.
Adil Aslam Mir, Kimberlee Jane Kearfott, Fatih Vehbi Çelebi, Muhammad Rafique   +3 more
doaj   +1 more source

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Bidirectional f-Divergence-Based Deep Generative Method for Imputing Missing Values in Time-Series Data

Stats
Imputing missing values in high-dimensional time-series data remains a significant challenge in statistics and machine learning. Although various methods have been proposed in recent years, many struggle with limitations and reduced accuracy ...
Wen-Shan Liu, Tong Si, Aldas Kriauciunas, Marcus Snell, Haijun Gong   +4 more
doaj   +1 more source

Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputation [PDF]

, 2023
Jingchen Ren, Zhaotong Lin, Wei Pan
openalex   +1 more source

Predictive mean matching imputation in survey sampling [PDF]

, 2018
Predictive mean matching imputation is popular for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the predictive mean matching estimator of the population mean.
Kim, Jae Kwang, Kim, Jae Kwang, Yang, Shu   +2 more
core   +3 more sources

Multiple imputation for sharing precise geographies in public use data

, 2012
When releasing data to the public, data stewards are ethically and often legally obligated to protect the confidentiality of data subjects' identities and sensitive attributes.
Reiter, Jerome P., Wang, Hao
core   +1 more source

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

, 2020
Data quality affects machine learning (ML) model performances, and data scientists spend considerable amount of time on data cleaning before model training.
Blase, Jennifer, Chu, Xu, Li, Peng, Rao, Xi, Zhang, Ce, Zhang, Yue   +5 more
core   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

Family Generation Process from Administrative Data Sources and the Austrian Register-Based Census 2011

Austrian Journal of Statistics, 2014
For the Austrian register-based census we developed techniques to generate family statistics from administrative data sources. The approach is based on data of relationships and how to handle them -- in general, in a fixed household and in an imputation ...
Henrik Rechta, Eliane Schwerer, Christoph Waldner   +2 more
doaj   +1 more source

The Effect of Taxes on Multinational Debt Location [PDF]

, 2010
We provide new evidence that differences in international tax rates and tax regimes affect multinational firms\u27 debt location decisions. Our sample contains 8287 debt issues from 2437 firms headquartered in 23 different countries with debt-issuing ...
Arena, Matteo, Roper, Andrew H
core   +1 more source