Compare the performance of multiple machine learning models in predicting tacrolimus concentration for infant patients with living donor liver transplantation-Reference-Cited by-同舟云学术

Compare the performance of multiple machine learning models in predicting tacrolimus concentration for infant patients with living donor liver transplantation

Published:2022-08-30 Issue:1 Volume:27 Page:
ISSN:1397-3142
Container-title:Pediatric Transplantation
language:en
Short-container-title:Pediatric Transplantation

Author:

Song XueWu¹^ORCID,Liu FangHao²,Gao HuiEr³,Yan MeiLing³,Zhang FeiYu¹,Zhao Jia¹,Qin YinPeng³,Li Yue⁴,Zhang Yi³

Affiliation:

1. First Central Clinical College of Tianjin Medical University Tianjin China

2. College of Computer Science, Tianjin Key Laboratory of Network and Data Security Technology Nankai University Tianjin China

3. Department of Pharmacy, Tianjin First Central Hospital, School of Medicine Nankai University Tianjin China

4. College of Computer Science, KLMDASR, Key Laboratory for Medical Data Analysis and Statistical Research Nankai University Tianjin China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Transplantation,Pediatrics, Perinatology and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/petr.14379

Reference29 articles.

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

2. Therapeutic Drug Monitoring of Tacrolimus-Personalized Therapy: Second Consensus Report

3. A high intrapatient variability in tacrolimus exposure is associated with poor long-term outcome of kidney transplantation

4. Intra-patient variability in tacrolimus exposure: Causes, consequences for clinical management

5. Non-Adherence and Graft Failure in Adult Liver Transplant Recipients

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2. CURATE.AI—Artificial Intelligence‐Derived Personalized Tacrolimus Dosing for Pediatric Liver Transplant: A Retrospective Study;Advanced Therapeutics;2023-12-31

3. Machine Learning: A New Approach for Dose Individualization;Clinical Pharmacology & Therapeutics;2023-09-29

4. Comparing the Performance of Multiple Small-Data Personalized Tacrolimus Dosing Models for Pediatric Liver Transplant: A Retrospective Study*;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. CURATE.AI – AI-derived personalized tacrolimus dosing for pediatric liver transplant: A retrospective study;2022-11-24