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

IF 6.1 2区 医学 Q1 MICROBIOLOGY
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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引用次数: 0

摘要

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。
Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence
Journal of Clinical Microbiology, Ahead of Print.
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来源期刊
Journal of Clinical Microbiology
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.
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