Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression. | Available online http content 11 4 R83 Research A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression Stijn Van Looy1 Thierry Verplancke2 Dominique Benoit2 Eric Hoste2 Georges Van Maele3 Filip De Turck1 and Johan Decruyenaere2 1Ghent University Department of Information Technology INTEC Gaston Crommenlaan 8 Ghent Belgium 2Ghent University Hospital Intensive Care Department De Pintelaan 185 Ghent Belgium 3Ghent University Department of Medical Statistics De Pintelaan 185 Ghent Belgium Contributed equally Corresponding author Thierry Verplancke Received 8 May 2007 Revisions requested 11 Jul 2007 Revisions received 23 Jul 2007 Accepted 26 Jul 2007 Published 26 Jul 2007 Critical Care 2007 11 R83 doi cc6081 This article is online at http content 11 4 R83 2007 Van Looy et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Open Access Abstract Introduction Tacrolimus is an important immunosuppressive drug for organ transplantation patients. It has a narrow therapeutic range toxic side effects and a blood concentration with wide intra- and interindividual variability. Hence it is of the utmost importance to monitor tacrolimus blood concentration thereby ensuring clinical effect and avoiding toxic side effects. Prediction models for tacrolimus blood concentration can improve clinical care by optimizing monitoring of these concentrations especially in the initial phase after transplantation during intensive care unit ICU stay. This is the first study in the ICU in which support vector machines as a new data modeling technique are investigated and tested in their .
