The role of machine learning in healthcare responses to pandemics: maximizing benefits and filling gaps-Reference-Cited by-同舟云学术

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The role of machine learning in healthcare responses to pandemics: maximizing benefits and filling gaps

Published:2023-06-16 Issue:1 Volume:26 Page:777-780
ISSN:1369-6998
Container-title:Journal of Medical Economics
language:en
Short-container-title:Journal of Medical Economics

Author:

Al Meslamani Ahmad Z.¹²^ORCID,Jarab Anan S.¹²³,Ghattas Mohammad A.¹²

Affiliation:

1. College of Pharmacy, Al Ain University, Abu Dhabi, United Arab Emirates

2. AAU Health and Biomedical Research Center, Al Ain University, Abu Dhabi, United Arab Emirates

3. Department of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan

Publisher

Informa UK Limited

Subject

Health Policy

Link

https://www.tandfonline.com/doi/pdf/10.1080/13696998.2023.2224018

Reference17 articles.

1. The decline of COVID-19 severity and lethality over two years of pandemic

2. Health outcomes and economic burden of hospitalized COVID-19 patients in the United States

3. How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

4. Artificial Intelligence for COVID-19: A Systematic Review

5. A machine learning-based model for survival prediction in patients with severe COVID-19 infection

Cited by 5 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. Machine learning in infectious diseases: potential applications and limitations;Annals of Medicine;2024-06-10

2. Insights into artificial intelligence utilisation in drug discovery;Journal of Medical Economics;2024-02-22

3. Challenges in health economics research: insights from real-world examples;Journal of Medical Economics;2024-02-06

4. Why are digital health policies crucial?;Journal of Medical Economics;2024-01-18

5. Overcoming barriers to machine learning applications in toxicity prediction;Expert Opinion on Drug Metabolism & Toxicology;2023-12-13

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