Fig. 5From: Machine learning prognosis model based on patient-reported outcomes for chronic heart failure patients after dischargeSelf-made web-based risk calculator for specific instances. On the left side of the system is the variable input module, where continuous variables can be assigned by dragging, and categorical variables such as gender can be drop-down to select variable assignment. On the right is the results output window. Based on the results, the two-year mortality rate, re-hospitalization rate and MACEs incidence rate of patients that met the input conditions were 7.81%, 49.23% and 64.8% respectivelyBack to article page