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A survey on missing data in machine learning
Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …
from data and often a problem of missing values is encountered. Missing values occur …
[HTML][HTML] Framework for the treatment and reporting of missing data in observational studies: the treatment and reporting of missing data in observational studies …
Missing data are ubiquitous in medical research. Although there is increasing guidance on
how to handle missing data, practice is changing slowly and misapprehensions abound …
how to handle missing data, practice is changing slowly and misapprehensions abound …
Beyond ANOVA and MANOVA for repeated measures: Advantages of generalized estimated equations and generalized linear mixed models and its use in …
In neuroscience research, longitudinal data are often analysed using analysis of variance
(ANOVA) and multivariate analysis of variance (MANOVA) for repeated measures …
(ANOVA) and multivariate analysis of variance (MANOVA) for repeated measures …
The impact of imputation quality on machine learning classifiers for datasets with missing values
Background Classifying samples in incomplete datasets is a common aim for machine
learning practitioners, but is non-trivial. Missing data is found in most real-world datasets …
learning practitioners, but is non-trivial. Missing data is found in most real-world datasets …
E-health StandingTall balance exercise for fall prevention in older people: results of a two year randomised controlled trial
Abstract Objective To test whether StandingTall, a home based, e-health balance exercise
programme delivered through an app, could provide an effective, self-managed fall …
programme delivered through an app, could provide an effective, self-managed fall …
Association of sex differences in dementia risk factors with sex differences in memory decline in a population-based cohort spanning 20–76 years
Sex differences in late-life memory decline may be explained by sex differences in dementia
risk factors. Episodic memory and dementia risk factors were assessed in young, middle …
risk factors. Episodic memory and dementia risk factors were assessed in young, middle …
[HTML][HTML] A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety
Utilization of internet-delivered cognitive behavioural therapy (iCBT) for treating depression
and anxiety disorders in stepped-care models, such as the UK's Improving Access to …
and anxiety disorders in stepped-care models, such as the UK's Improving Access to …
Reciprocal relationships between problematic social media use, problematic gaming, and psychological distress among university students: a 9-month longitudinal …
Background The causal relationships between two specific types of problematic use in
internet-related activities [ie, problematic social media use (PSMU) and problematic gaming …
internet-related activities [ie, problematic social media use (PSMU) and problematic gaming …
Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance
The uncertainty attributed by discrepant data in AI-enabled decisions is a critical challenge
in highly regulated domains such as health care and finance. Ambiguity and incompleteness …
in highly regulated domains such as health care and finance. Ambiguity and incompleteness …