Data lake-driven analytics identify nocturnal non-dipping of heart rate as predictor of unfavorable stroke outcome at discharge
ConclusionsOur data suggest that a lack of circadian HR modulation, specifically nocturnal non-dipping, is associated with short-term unfavorable functional outcome after stroke, and that including HR into machine learning-based prediction models may lead to improved stroke outcome prediction.
Source: Journal of Neurology - Category: Neurology Source Type: research
More News: Brain | Cardiology | Electrocardiogram | Germany Health | Heart | Hemorrhagic Stroke | Ischemic Stroke | Learning | Neurology | Stroke | Study | Universities & Medical Training