A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network

Our best performed model is able to dynamically predict a future eGFR value for kidney recipients' upcoming visits. Integrating such a clinical tool into daily workflow of outpatient clinics can potentially support clinicians in optimal and individualized decision makings.