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Published in 2021 at "Scientific reports"
DOI: 10.1038/s41598-021-99990-7
Abstract: Modern AI-based clinical decision support models owe their success in part to the very large number of predictors they use. Safe and robust decision support, especially for intervention planning, requires causal, not associative, relationships. Traditional…
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Keywords:
data application;
ehr data;
causal;
causal structure ... See more keywords
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Published in 2018 at "Biometrika"
DOI: 10.1093/biomet/asy052
Abstract: &NA; The distribution of spatially aggregated data from a stochastic process X may exhibit tail behaviour different from that of its marginal distributions. For a large class of aggregating functionals ℓ we introduce the ℓ‐extremal…
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Keywords:
data application;
behaviour aggregated;
aggregated data;
process ... See more keywords
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Published in 2018 at "Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis"
DOI: 10.11118/actaun201866020453
Abstract: Data smoothing is often required within the environmental data analysis. A number of methods and algorithms that can be applied for data smoothing have been proposed. This paper gives an overview and compares the performance…
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Keywords:
data application;
comparison methods;
pm10;
environmental data ... See more keywords
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Published in 2018 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2018.00023
Abstract: Citation: Wen D, Wei Z, Zhou Y, Li G, Zhang X and Han W (2018) Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and…
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Keywords:
data application;
fmri data;
methods process;
process fmri ... See more keywords