Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology

OBJECTIVES: Predicting adherence to immunosuppressive medication (IM) is important to improve and design future prospective, personalized interventions in Chinese renal transplant patients (RTPs). METHODS: A retrospective, multicenter, cross-sectional study was performed in 1,191 RTPs from October 2...

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Detalles Bibliográficos
Autores principales: Zhu, Xiao, Peng, Bo, Yi, QiFeng, Liu, Jia, Yan, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895304/
https://www.ncbi.nlm.nih.gov/pubmed/35252242
http://dx.doi.org/10.3389/fmed.2022.796424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895304/
https://www.ncbi.nlm.nih.gov/pubmed/35252242
http://dx.doi.org/10.3389/fmed.2022.796424

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