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Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods
From Day 2 through Day 8, the experimental group was administered 1mA tDCS, while the control group received sham tDCS.
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
From Day 2 to Day 7, subjects in the experimental condition undertook 15 minutes of 2mA anodal tDCS stimulation during task training.
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods
The experimental group received tDCS during task training from Day 2 to Day 8, while the control group received sham tDCS.
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
In this study, different machine learning algorithms and ensembles were developed to predict suicide behavior based on childhood trauma, different mental health parameters, and other behavioral factors.
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