A fully interpretable machine learning model for increasing the effectiveness of urine screening.
Fabio Del BenGiacomo Da ColDoriana CobârzanMatteo TurettaDaniela RubinPatrizio ButtazziAntonio AnticoPublished in: American journal of clinical pathology (2023)
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.