Abstract
Immunosuppressive therapy is necessary when patients with chronic kidney disease receive a kidney transplant. Certain immunosuppressive agents need therapeutic drug monitoring. The goal of this paper was to identify adaptation rules for Tacrolimus therapy from a clinical data set. For knowledge acquisition, patient data from 1995 to 2008 from the Department of Nephrology and Dialysis of the Vienna General Hospital were used, including patient demographics, laboratory parameters, time since kidney transplantation and other immuno-suppressive drugs administered. Tacrolimus was chosen from the available immunosuppressive drugs. By applying a regression tree, we create homogeneous groups of data. Models were generated for these groups that can predict the level of the drug concentration for the next ward round. A knowledge base was developed on the basis of the determined models, which is used within a clinical decision support system for Tacrolimus therapy planning, which was integrated into clinical routine.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.