A fully interpretable machine learning model for increasing the effectiveness of urine screening

CONCLUSIONS: Overall, this study provides an effective and interpretable screening method for urine culture in microbiology laboratories, using data from the Sysmex UF-1000i automated analyzer. Unlike other machine learning models, our model is interpretable, generating trust and enabling real-world implementation.PMID:37658807 | DOI:10.1093/ajcp/aqad099

Source: American Journal of Clinical Pathology - September 2, 2023 Category: Pathology Authors: Fabio Del Ben Giacomo Da Col Doriana Cob ârzan Matteo Turetta Daniela Rubin Patrizio Buttazzi Antonio Antico Source Type: research