Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005–2020

Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005–2020

Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes significant burdens on both quality of life and healthcare systems. Emerging evidence implicates systemic inflammation in OAB pathogenesis; however, the role of complete blood count (CBC)-derived inflamma...

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Bibliographic Details
Main Authors: Haoxun Zhang, Guoling Zhang, Chunyang Wang
Format: Article
Language:English
Published: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2025-05-01
Series:Biomolecules & Biomedicine
Subjects:
Overactive bladder
OAB
inflammatory biomarkers
machine learning
National Health and Nutrition Examination Survey
NHANES
Online Access:https://www.bjbms.org/ojs/index.php/bjbms/article/view/12335
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