Artificial Intelligence-Clinical Decision Support System in Infectious Disease Control: Combatting Multidrug-Resistant Klebsiella pneumoniae with Machine Learning-Reference-Cited by-同舟云学术

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Artificial Intelligence-Clinical Decision Support System in Infectious Disease Control: Combatting Multidrug-Resistant Klebsiella pneumoniae with Machine Learning

Published:2024-07 Issue: Volume:Volume 17 Page:2899-2912
ISSN:1178-6973
Container-title:Infection and Drug Resistance
language:en
Short-container-title:IDR

Author:

Jian Ming-Jr,Lin Tai-Han,Chung Hsing-Yi,Chang Chih-Kai,Perng Cherng-Lih,Chang Feng-Yee,Shang Hung-Sheng^ORCID

Publisher

Informa UK Limited

Reference25 articles.

1. World Health Organization. WHO publishes list of bacteria for which new antibiotics are urgently needed; 2017. Available from: https://www.who.int/news/item/27-02-2017-who-publishes-list-of-bacteria-for-which-new-antibiotics-are-urgently-needed. Accessed April 16, 2024.

2. Genomic Features Associated with the Degree of Phenotypic Resistance to Carbapenems in Carbapenem-Resistant Klebsiella pneumoniae

3. Prevalence, risk factors and molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae in patients from Zhejiang, China, 2008–2018

4. The Global and Regional Prevalence of Hospital-Acquired Carbapenem-Resistant Klebsiella pneumoniae Infection: A Systematic Review and Meta-analysis

5. Framework for optimisation of the clinical use of colistin and polymyxin B: the Prato polymyxin consensus

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