2017
DOI: 10.1093/eurheartj/ehx493.p5582
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P5582Simple risk prediction model to assess hospital mortality in Chinese patients with ST elevation myocardial infarction based on a machine learning approach: from China acute myocardial infarction (CAMI

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Cited by 1 publication
(3 citation statements)
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“…It does not require blood tests and medical history. Predictive accuracy of hospitalized mortality in Chinese STEMI patients is similar to that obtained using TIMI score and the Global Registration of Acute Coronary Events (GRACE) score [10]. This study showed that the CAMI-STEMI score was an independent predictor of MACCE incidence at 30 days after PCI.…”
Section: Discussionsupporting
confidence: 68%
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“…It does not require blood tests and medical history. Predictive accuracy of hospitalized mortality in Chinese STEMI patients is similar to that obtained using TIMI score and the Global Registration of Acute Coronary Events (GRACE) score [10]. This study showed that the CAMI-STEMI score was an independent predictor of MACCE incidence at 30 days after PCI.…”
Section: Discussionsupporting
confidence: 68%
“…The CAMI-STEMI score was composed of seven variables: female (1 point), heart rate (HR) ≥100 bmp (2 points), age ≥70 years (2 points), systolic blood pressure ≤115 mmHg (2 points), Killip class>1 (2 points), cardiac arrest (4 points), and anterior wall infarction (1 point) [10].…”
Section: Methodsmentioning
confidence: 99%
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