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Fig. 5 | European Journal of Medical Research

Fig. 5

From: Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach

Fig. 5

Effects of each variable on the RF model using pre-procedure, procedural, and post-procedural features for (A) one positive case (with AKI), B one negative case (without AKI). LVEF left ventricular ejection fraction, FPG fasting plasma glucose, CPR cardiopulmonary resuscitation, PCI percutaneous coronary intervention, BMI body mass index, TC total cholesterol, LDL-C low-density lipoprotein cholesterol, PMH past medical history, UA unstable angina, MI myocardial infarction

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European Journal of Medical Research

ISSN: 2047-783X

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