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Fig. 3 | Health and Quality of Life Outcomes

Fig. 3

From: Machine learning prognosis model based on patient-reported outcomes for chronic heart failure patients after discharge

Fig. 3

The weight of predictors in XGBoost models of general information and CHF-PRO. The weight of predictors in XGBoost models of (a) all-cause death, (b) HF readmission and (c) MACEs. The number at the end of the horizontal axis of each variable indicates its weight in the model. AF, atrial fibrillation; BMI, body mass index; CHD, coronary heart disease; DIA, diabetes; DP, diastolic pressure; FAMILYHISY, family history; HBP, hypertension; HR, heart rate; Renal, renal insufficiency; SP, systolic pressure

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