Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence
Min Hyuk ChoiDokyun KimHye Gyung BaeAe-Ran KimMikyeong LeeKyungwon LeeKyoung-Ryul LeeSeok Hoon Jeong1Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea2Seoul Clinical Laboratories, Yongin-si, South KoreaErin McElvania
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The Journal of Clinical Microbiology® disseminates the latest research concerning the laboratory diagnosis of human and animal infections, along with the laboratory's role in epidemiology and the management of infectious diseases.
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