Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation

The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms in predicting the bioavailability of tacrolimus and the risk for post-transplant diabetes. Artificial neural network (ANN) and logistic regression (LR) models were used to predict the bioavailability...

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Detalles Bibliográficos
Autores principales: Thishya, Kalluri, Vattam, Kiran Kumar, Naushad, Shaik Mohammad, Raju, Shree Bhushan, Kutala, Vijay Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886400/
https://www.ncbi.nlm.nih.gov/pubmed/29621269
http://dx.doi.org/10.1371/journal.pone.0191921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886400/
https://www.ncbi.nlm.nih.gov/pubmed/29621269
http://dx.doi.org/10.1371/journal.pone.0191921

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