Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study

Objectives Methicillin-resistant Staphylococcus aureus (MRSA) is a major public health concern because of its genotypic diversity and association with severe infections, particularly those caused by strains carrying Panton–Valentine leukocidin (PVL). This study aimed to develop an artificial intelli...

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書誌詳細

出版年:	Emerging Microbes and Infections
主要な著者:	Tai-Han Lin, Ming-Jr Jian, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hsing-Yi Chung, Chih-Kai Chang, Cherng-Lih Perng, Yung-Chih Wang, Chih-Chien Wang, Yuan-Hao Chen, Katsunori Yanagihara, Hung-Sheng Shang
フォーマット:	論文
言語:	英語
出版事項:	Taylor & Francis Group 2025-12-01
主題:	MRSA PVL artificial intelligence artificial intelligence-clinical decision support systems AI-CDSS
オンライン･アクセス:	https://www.tandfonline.com/doi/10.1080/22221751.2025.2525264