Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence

IF 6.1 2区医学 Q1 MICROBIOLOGY

Journal of Clinical Microbiology Pub Date : 2024-09-12 DOI:10.1128/jcm.01175-24

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

引用次数: 0

Abstract

Journal of Clinical Microbiology, Ahead of Print.

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根据致病微生物对尿培养结果进行尿液分析的预测性能：人工智能综合分析

临床微生物学杂志》，提前出版。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Clinical Microbiology 医学-微生物学

CiteScore

17.10

自引率

4.30%

发文量

347

审稿时长

3 months

期刊介绍： 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.