Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning
Author:
Affiliation:
1. SimulaMet,Norway
2. Rikshospitalet, Oslo University Hospital,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866947/9866899/09866986.pdf?arnumber=9866986
Reference19 articles.
1. No change in insulin sensitivity in renal transplant recipients converted from standard to once-daily prolonged release tacrolimus
2. Use of Generic Tacrolimus in Elderly Renal Transplant Recipients
3. Fasting Status and Circadian Variation Must be Considered When Performing AUC‐based Therapeutic Drug Monitoring of Tacrolimus in Renal Transplant Recipients
4. Quantification of Lean Bodyweight
5. Inclusion of CYP 3 A 5 genotyping in a nonparametric population model improves dosing of tacrolimus early after transplantation
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Machine Learning Models for Predicting Personalized Tacrolimus Stable Dosages in Pediatric Renal Transplant Patients;BioMedInformatics;2023-10-14
2. A Salutogenic Approach for Collaboration in Health and Technology;Health Promotion - Principles and Approaches;2023-09-27
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