TabNet-Based Autoencoder Enhanced with Dynamic Masking for Multiple Imputation of Medical Table Data
Abstract: In medical data analysis research, missing data is prevalent and can undermine the reliability of disease diagnosis and clinical decision-making, posing a potential threat to patient health ...
select samp.dbid, fu.name, samp.version, detected_usages, total_samples, decode(to_char(last_usage_date, 'MM/DD/YYYY, HH:MI:SS'), NULL, 'FALSE', to_char(last_sample ...
select samp.dbid, fu.name, samp.version, detected_usages, total_samples, decode(to_char(last_usage_date, 'MM/DD/YYYY, HH:MI:SS'), NULL, 'FALSE', to_char(last_sample ...
Abstract: Most of the existing time-series prediction methods depend on large training datasets, which restricts their applicability in industrial applications with limited or no target-system data.
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