Search alternatives:
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a point » _ point (Expand Search), 5 point (Expand Search), _ points (Expand Search)
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a point » _ point (Expand Search), 5 point (Expand Search), _ points (Expand Search)
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1661
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1662
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1663
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1664
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1665
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1666
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1667
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1668
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1669
Pre-match open aortic group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1670
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1671
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1672
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1673
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1674
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1675
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1676
Propensity-score matched open aortic group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1677
Pre-match CABG/Valve group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1678
Propensity-score matched CABG/Valve group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1679
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1680
Paeameter ranges and optimal values.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”