Article ID Journal Published Year Pages File Type
11032472 International Journal of Medical Informatics 2018 36 Pages PDF
Abstract
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.
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Physical Sciences and Engineering Computer Science Computer Science Applications
Preview
A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network
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