Development of machine learning algorithms for scaling-up antibiotic stewardship-Reference-Cited by-同舟云学术

Development of machine learning algorithms for scaling-up antibiotic stewardship

Published:2024-01 Issue: Volume:181 Page:105300
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Tran-The Tam,Heo Eunjeong^ORCID,Lim Sanghee,Suh Yewon,Heo Kyu-Nam^ORCID,Lee Eunkyung Euni,Lee Ho-Young^ORCID,Kim Eu Suk,Lee Ju-Yeun^ORCID,Jung Se Young

Publisher

Elsevier BV

Subject

Health Informatics

Reference28 articles.

1. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship;Dellit;Clin. Infect. Dis.,2007

2. Assessment of WHO antibiotic consumption and access targets in 76 countries, 2000–15: an analysis of pharmaceutical sales data;Klein;Lancet Infect. Dis.,2021

3. Antibiotic Overuse is a Major Risk Factor for Clostridium difficile Infection in Surgical Patients;Bernatz;Infect. Control Hosp. Epidemiol.,2017

4. Antimicrobial resistance: risk associated with antibiotic overuse and initiatives to reduce the problem;Llor;Ther. Adv. Drug Saf.,2014

5. Core elements of hospital antibiotic stewardship programs from the Centers for Disease Control and Prevention;Pollack;Clin. Infect. Dis.,2014

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence and prescription of antibiotic therapy: present and future;Expert Review of Anti-infective Therapy;2024-08-18

2. From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review;Journal of Medical Systems;2024-08-01

3. Navigating the future: machine learning's role in revolutionizing antimicrobial stewardship and infection prevention and control;Current Opinion in Infectious Diseases;2024-05-31

4. Confronting the Disruption of the Infectious Diseases Workforce by Artificial Intelligence: What This Means for Us and What We Can Do About It;Open Forum Infectious Diseases;2024-01-31