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- W3016605136 abstract "Clinical cardiologists are trained from the start of their career to focus on risk factor assessment and treatment according to current guidelines. Risk factors are traditionally defined by absolute cut-off limits, for example, target levels of low-density lipoprotein (LDL) cholesterol to be reached in patients with atherosclerotic cardiovascular disease.Whereas debates on absolute numbers are ongoing, for example, between European and American experts about adequate definition of arterial hypertension, other aspects of optimal risk factor assessment are still largely ignored. Basically, a holistic longitudinal rather than a single-shot interpretation of risk parameters measured in one individual should come more into our focus. Obviously, this trend is based on and will further depend on the possibilities of digital medicine with the increasing use of artificial intelligence like deep learning methods.With a complete database of more …" @default.
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- W3016605136 date "2020-04-17" @default.
- W3016605136 modified "2023-09-27" @default.
- W3016605136 title "Variability in biological markers for prediction of adverse cardiovascular events" @default.
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- W3016605136 doi "https://doi.org/10.1136/heartjnl-2020-316717" @default.
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