Machine learning constructs a diagnostic prediction model for calculous pyonephrosis
Bin Yang,
Jiao Zhong,
Yalin Yang
et al.
Abstract:In order to provide decision-making support for the auxiliary diagnosis and individualized treatment of calculous pyonephrosis, the study aims to analyze the clinical features of the condition, investigate its risk factors, and develop a prediction model of the condition using machine learning techniques. A retrospective analysis was conducted on the clinical data of 268 patients with calculous renal pelvic effusion who underwent ultrasonography-guided percutaneous renal puncture and drainage in our hospital d… Show more
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