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ith COVID-19 patients and being satisfied at work were significant factors in improving professional self-concept. Policymakers should create strategies that target the improvement of professional training in dealing with COVID-19 patients.Recently, deep learning for automated sleep stage classification has been introduced with promising results. However, as many challenges impede their routine application, automatic sleep scoring algorithms are not widely used. Typically, polysomnography (PSG) uses multiple channels for higher accuracy
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