PD14-03 DEVELOPMENT OF PREDICTION MODELS OF SPONTANEOUS URETERAL STONE PASSAGE THROUGH MACHINE LEARNING: COMPARISON WITH CONVENTIONAL STATISTICAL ANALYSIS

Authors :: Kwang Suk Lee
Hyun Kyu Ahn
Kyo Chul Koo
Joon Chul Kim
Byung Ha Chung
Source :: Journal of Urology. 203
Publication Year :: 2020
Publisher :: Ovid Technologies (Wolters Kluwer Health), 2020.
Abstract: INTRODUCTION AND OBJECTIVE:Indications for management of ureteral stones are unclear, and clinician determines whether to wait for spontaneous ureteral stone passage (SSP) or perform active treatme...

Subjects :: urogenital system
business.industry
Urology
Ureteral stone
food and beverages
urologic and male genital diseases
Machine learning
computer.software_genre
female genital diseases and pregnancy complications
surgical procedures, operative
Medicine
Statistical analysis
Artificial intelligence
business
computer
Predictive modelling

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