Integrating Machine Learning for Personalized Kidney Stone Risk Assessment

Kidney stones are a substantial health risk, and effectively preventing them necessitates precise and individualized evaluations of risk. This work presents a clinical decision assistance system that compares logistic regression, assistance vector machine (SVM) and random forest models. These models...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Choudhary, Shilpa, Gulhane, Monali, Kumar, Sandeep, Rakesh, Nitin, Maurya, Sudhanshu, Tandon, Chanderdeep
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	CLDN11 genetic data genomics Kidney stone detection linear regression random forest
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!