Exploring the Predictive Role of Inflammatory Markers in Neuropathic Bladder-Related Kidney Damage with Machine Learning

Autor:	Su Özgür, Sevgin Taner, Gülnur Gülnaz Bozcuk, Günay Ekberli
Jazyk:	English<br />Turkish
Rok vydání:	2024
Předmět:	neuropathic bladder dysfunction kidney damage inflammatory markers machine learning k-nearest neighbor random forest Medicine Pediatrics RJ1-570
Zdroj:	Journal of Pediatric Research, Vol 11, Iss 1, Pp 1-10 (2024)
Druh dokumentu:	article
ISSN:	2147-9445 2587-2478
DOI:	10.4274/jpr.galenos.2024.08624
Popis:	Aim: The main objective of this study was to predict upper urinary tract damage utilizing novel approaches, such as machine learning models, by incorporating simple predictors alongside established radiological and clinical factors. Materials and Methods: In this retrospective study, a total of 191 patients who underwent blood tests, urine analysis, imaging, and urodynamic studies (UDS) in order to assess their nephrological and urological status were included. Basic statistical analyses were conducted using IBM SPSS Version 25. A significance level of p
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/68bdb5868a1b4be6b432fcbcf9d27890 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF