2022
DOI: 10.1097/ju.0000000000002621.05
|View full text |Cite
|
Sign up to set email alerts
|

Pd50-05 a Novel Prediction of Uric Acid Component in Nephrolithiasis Using Simple Clinical Information: A Machine Learning-Based Model

Abstract: for 5-year risk, and five rules return the a for 10-year risk based on the manually entered episode number and number of years since the last stone episode. Two rules calculate the 5-and 10-year risk, respectively. We found the EHR-ROKS completely matched webbased calculations after simulations.CONCLUSIONS: Our feasibility implementation indicates that the ROKS nomogram can be integrated into our commercial EHR into existing workflows, improving the likelihood of adoption in future work towards improving provi… Show more

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles