Prediction of vancomycin dose on high-dimensional data using machine learning techniques-Reference-Cited by-同舟云学术

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Prediction of vancomycin dose on high-dimensional data using machine learning techniques

Published:2021-04-09 Issue:6 Volume:14 Page:761-771
ISSN:1751-2433
Container-title:Expert Review of Clinical Pharmacology
language:en
Short-container-title:Expert Review of Clinical Pharmacology

Author:

Huang Xiaohui¹,Yu Ze²,Wei Xin¹,Shi Junfeng³,Wang Yu²,Wang Zeyuan²⁴,Chen Jihui¹,Bu Shuhong¹,Li Lixia¹,Gao Fei²,Zhang Jian¹,Xu Ajing¹^ORCID

Affiliation:

1. Department of Pharmacy, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

2. Beijing Medicinovo Technology Co. Ltd., Beijing, China

3. Department of Nephrology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

4. School of Computer Science, The University of Sydney, Sydney, Australia

Funder

the National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/17512433.2021.1911642

Reference58 articles.

1. Therapeutic monitoring of vancomycin in adult patients: A consensus review of the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, and the Society of Infectious Diseases Pharmacists

2. Therapeutic monitoring of vancomycin for serious methicillin-resistant Staphylococcus aureus infections: A revised consensus guideline and review by the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, the Pediatric Infectious Diseases Society, and the Society of Infectious Diseases Pharmacists

3. Invasive Methicillin-Resistant Staphylococcus aureus Infections in the United States

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