Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data

OBJECTIVES: Longitudinal data are prevalent in clinical research; due to their correlated nature, special analysis must be used for this type of data. Creatinine is an important marker in predicting end-stage renal disease, and it is recorded longitudinally. This study compared the prediction perfor...

Descripción completa

Detalles Bibliográficos
Autores principales: Amiri, Mohammad Moqaddasi, Tapak, Leili, Faradmal, Javad, Hosseini, Javad, Roshanaei, Ghodratollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278511/
https://www.ncbi.nlm.nih.gov/pubmed/32547808
http://dx.doi.org/10.4258/hir.2020.26.2.112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278511/
https://www.ncbi.nlm.nih.gov/pubmed/32547808
http://dx.doi.org/10.4258/hir.2020.26.2.112

Ejemplares similares