Perspectives of patients about immediate access to test results through an online patient portal
Importance The 21st Century Cures Act Final Rule mandates the immediate electronic
availability of test results to patients, likely empowering them to better manage their health …
availability of test results to patients, likely empowering them to better manage their health …
Missing value estimation using clustering and deep learning within multiple imputation framework
Missing values in tabular data restrict the use and performance of machine learning,
requiring the imputation of missing values. Arguably the most popular imputation algorithm …
requiring the imputation of missing values. Arguably the most popular imputation algorithm …
High-order polynomial interpolation with CNN: A robust approach for missing data imputation
The presence of missing data poses a significant challenge in knowledge extraction, where
completeness and quality are crucial factors. The decision to ignore records with missing …
completeness and quality are crucial factors. The decision to ignore records with missing …
Performance of multiple imputation using modern machine learning methods in electronic health records data
Background: Missing data are common in studies using electronic health records (EHRs)-
derived data. Missingness in EHR data is related to healthcare utilization patterns, resulting …
derived data. Missingness in EHR data is related to healthcare utilization patterns, resulting …
Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure
DL Coffman, J Zhou, X Cai - BMC medical research methodology, 2020 - Springer
Background Causal effect estimation with observational data is subject to bias due to
confounding, which is often controlled for using propensity scores. One unresolved issue in …
confounding, which is often controlled for using propensity scores. One unresolved issue in …
The Lasting Effects of Incarcerating Juveniles in US Adult Facilities: Examining the Impact on Employment and Income During Early Adulthood
IA Silver, DC Semenza… - The British Journal of …, 2025 - academic.oup.com
Using the NLSY-1997, the current study examined if juvenile incarceration in US adult
correctional facilities influenced the average number of weeks worked and income earned …
correctional facilities influenced the average number of weeks worked and income earned …
Comorbidity of posttraumatic stress disorder and depression among adolescents following an earthquake: A longitudinal study based on network analysis
Background High comorbidity between posttraumatic stress disorder (PTSD) and
depression among adolescents often follows severe traumatic events. Models on the …
depression among adolescents often follows severe traumatic events. Models on the …
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival
Handling missing data in clinical prognostic studies is an essential yet challenging task. This
study aimed to provide a comprehensive assessment of the effectiveness and reliability of …
study aimed to provide a comprehensive assessment of the effectiveness and reliability of …
How to choose an approach to handling missing categorical data:(un) expected findings from a simulated statistical experiment
S Zhuchkova, A Rotmistrov - Quality & Quantity, 2022 - Springer
The study is devoted to a comparison of three approaches to handling missing data of
categorical variables: complete case analysis, multiple imputation (based on random forest) …
categorical variables: complete case analysis, multiple imputation (based on random forest) …
Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health …
I Pelgrims, B Devleesschauwer, S Vandevijvere… - BMC Medical Research …, 2023 - Springer
Background In many countries, the prevalence of non-communicable diseases risk factors is
commonly assessed through self-reported information from health interview surveys. It has …
commonly assessed through self-reported information from health interview surveys. It has …