PD35-03 MACHINE LEARNING MODELS SU TO PREDICT KIDNEY STONE COMPOSITION AND 24-HOUR URINE ABNORMALITIES FROM ELECTRONIC HEALTH RECORD-DERIVED FEATURES

Authors :: Nicholas Kavoussi
Ryan His
Cosmin Adrian Bejan
Wilson Sui
Chi Le
Nicole L. Miller
Source :: Journal of Urology. 203
Publication Year :: 2020
Publisher :: Ovid Technologies (Wolters Kluwer Health), 2020.

Subjects :: medicine.medical_specialty
business.industry
Electronic health record
Urology
Emergency medicine
Medicine
Kidney stones
business
medicine.disease
24 h urine

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