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Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis | PLOS ONE
Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis | PLOS ONE
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A) Spontaneous stone passage rate between small-sized stones and... | Download Scientific Diagram
Spontaneous passage frequency and average time to stone passage as a... | Download Table
Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric | SpringerLink
Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis | PLOS ONE
Gut microbiota and the prevalence and incidence of renal stones | Scientific Reports
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Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric | SpringerLink
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Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric | SpringerLink
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Calcium Oxalate Crystallization: Influence of pH, Energy Input, and Supersaturation Ratio on the Synthesis of Artificial Kidney Stones | ACS Omega
Kidney Stones: Surgical Management Guideline - American Urological Association
Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric | SpringerLink
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Determining the true burden of kidney stone disease | Nature Reviews Nephrology
