AUTOMATED DETECTION OF MAJOR DEPRESSIVE DISORDER WITH EEG SIGNALS: A TIME SERIES CLASSIFICATION USING DEEP LEARNING

Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning

Major depressive disorder (MDD) has been considered a severe and common ailment with effects on functional frailty, while its clear manifestations are shrouded in mystery.Hence, manual detection of MDD is a challenging and subjective task.Although Electroencephalogram (EEG) signals have shown promise in aiding diagnosis, further enhancement is requ

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e-Health interventions for healthy aging: a systematic review

Abstract Background Healthy aging (HA) is a contemporary challenge for population health worldwide.Electronic health (e-Health) interventions have the Hair Dryer Sponge Diffuser potential to support empowerment and education of adults aged 50 and over.Objectives To summarize evidence on the effectiveness of e-Health interventions on HA and explore

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Postoperative Glycaemia in Patients Following the CABG Surgery

In this study we analyzed patients glucose levels taken before and after coronary artery bypass surgery.The data are taken from University of Sarajevo Clinics Centre-medical documentation of Heart Center from January Fashion Art 1st, 2007 to October 31st, 2007.Therefore, the entire study is done retrospectively.The patients considered in this analy

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