Predicting the graft survival for heart–lung transplantation patients: An integrated data mining methodology
- 31 December 2009
- journal article
- Published by Elsevier BV in International Journal of Medical Informatics
- Vol. 78 (12), e84-e96
- https://doi.org/10.1016/j.ijmedinf.2009.04.007
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Single and multiple time-point prediction models in kidney transplant outcomesJournal of Biomedical Informatics, 2008
- Evaluation of the cost-effectiveness of Sirolimus versus cyclosporin for immunosuppression after renal transplantation in the United KingdomClinical Therapeutics, 2005
- Current outcomes following heart transplantationSeminars in Thoracic and Cardiovascular Surgery, 2004
- Simulating the Allocation of Organs for TransplantationHealth Care Management Science, 2004
- Thoracic organ transplantationAmerican Journal of Transplantation, 2004
- Thoracic transplantationAmerican Journal of Transplantation, 2003
- Predicting cytomegalovirus disease after renal transplantation: an artificial neural network approachInternational Journal of Medical Informatics, 1999
- Xenotransplants: proceed with cautionNature, 1998
- Survival Benefits of Heart and Lung TransplantationAnnals of Surgery, 1996
- Kidney Transplantation: A Simulation Model for Examining Demand and SupplyManagement Science, 1985