Machine learning‐based method for tacrolimus dose predictions in Chinese kidney transplant perioperative patients-Reference-Cited by-同舟云学术

Machine learning‐based method for tacrolimus dose predictions in Chinese kidney transplant perioperative patients

Published:2021-11-21 Issue: Volume: Page:
ISSN:0269-4727
Container-title:Journal of Clinical Pharmacy and Therapeutics
language:en
Short-container-title:J Clin Pharm Ther

Author:

Fu Qun¹²,Jing Yan¹²,Liu Mr Guozhen³,Jiang Mr Xuehui¹²,Liu Hong²,Kong Ying²,Hou Xiongjun⁴,Cao Lei⁵,Deng Pei⁵,Xiao Pin⁶,Xiao Jiansheng⁷,Peng Hongwei²,Wei Xiaohua²⁸^ORCID

Affiliation:

1. School of Pharmacy Nanchang University Nanchang China

2. Department of Pharmacy The First Affiliated Hospital of Nanchang University Nanchang China

3. PKU Healthcare IT Co Ltd, Beijing China

4. Department of Clinical Pharmacology Jiangxi Provincial People's Hospital Nanchang China

5. Department of Information The First Affiliated Hospital of Nanchang University Nanchang China

6. Department of Pharmacy Hospital of Jiangxi Provincial Armed Police Corps Nanchang China

7. Department of Transplantation The First Affiliated Hospital of Nanchang University Nanchang China

8. Institute of Clinical Pharmacology Jiangxi Institute of Clinical Medical Sciences Nanchang China

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcpt.13579

Reference36 articles.

1. Opportunities to Optimize Tacrolimus Therapy in Solid Organ Transplantation: Report of the European Consensus Conference

2. Tacrolimus in preventing transplant rejection in Chinese patients–optimizing use;Li CJ;Drug Des Devel Ther,2015

3. Tacrolimus population pharmacokinetic models according to CYP3A5/CYP3A4/POR genotypes in Chinese Han renal transplant patients

4. Population pharmacokinetic analysis and dosing guidelines for tacrolimus co‐administration with Wuzhi capsule in Chinese renal transplant recipients

5. Therapeutic drug monitoring (TDM) of antifungal agents: guidelines from the British Society for Medical Mycology

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