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A machine learning framework to detect syncope using the active stand
2020-12-08
cardiovascular medicine
Title + abstract only
View on medRxiv
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BackgroundVasovagal syncope (VVS) is the most common form of syncope, accounting for 50-60% of unexplained syncope. Currently diagnosis is achieved via clinical assessment combined with the Head-Up Tilt Test (HUT). AimTo examine the utility of the active stand test (AS) to identify those with a positive HUT or diagnosis of VVS. DesignRetrospective study of hemodynamic responses to AS. MethodsContinuous blood pressure responses to AS from 101 patients attending a Falls and Blackouts Unit were ...
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