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 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
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临床微生物学杂志》,提前出版。
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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.
期刊最新文献
Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence Photo Quiz: Treatment-resistant rash in cardiac transplant patient The Brief Case: Tricky Trichosporon asahii in the urinary tract Reduced sensitivity of a multiplex commercial respiratory panel for detection of Mycoplasma pneumoniae is due to specimen type Defining our worth
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