An integrated machine learning predictive scheme for longitudinal laboratory data to evaluate the factors determining renal function changes in patients with different chronic kidney disease stages

BACKGROUND AND OBJECTIVES: Chronic kidney disease (CKD) is a global health concern. This study aims to identify key factors associated with renal function changes using the proposed machine learning and important variable selection (ML&IVS) scheme on longitudinal laboratory data. The goal is to...

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Detalles Bibliográficos
Autores principales: Tsai, Ming-Hsien, Jhou, Mao-Jhen, Liu, Tzu-Chi, Fang, Yu-Wei, Lu, Chi-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582636/
https://www.ncbi.nlm.nih.gov/pubmed/37859858
http://dx.doi.org/10.3389/fmed.2023.1155426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582636/
https://www.ncbi.nlm.nih.gov/pubmed/37859858
http://dx.doi.org/10.3389/fmed.2023.1155426

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