Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
Objective: This study was an exploratory analysis aimed to build a cross-platform typology to categorize tobacco-related misinformation. Methods: Data from Instagram and TikTok between January 2020 ...
Background: This study aims to evaluate the prognostic value of electroencephalogram (EEG) patterns in comatose patients after in-hospital adult cardiopulmonary resuscitation (CPR). Methods: Clinical ...
Abstract: Often real-world data contains missing values/ information which is not easily obtainable. These missing values can be because of any reason. Some people might not be comfortable providing a ...
Objective: Post-stroke depression affects approximately 40% of stroke survivors, with cognitive deficits being frequently observed. Transcranial direct current stimulation (tDCS) has shown promise in ...
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