A proposed collaborative framework by using artificial intelligence-internet of things (AI-IoT) in COVID-19 pandemic situation for healthcare workers-Reference-Cited by-同舟云学术

A proposed collaborative framework by using artificial intelligence-internet of things (AI-IoT) in COVID-19 pandemic situation for healthcare workers

Published:2020-08-25 Issue:4 Volume:13 Page:337-345
ISSN:2047-9700
Container-title:International Journal of Healthcare Management
language:en
Short-container-title:International Journal of Healthcare Management

Author:

Kumar Shashank¹^ORCID,Raut Rakesh D.²,Narkhede Balkrishna E.¹

Affiliation:

1. Department of Industrial Engineering & Manufacturing Systems, National Institute of Industrial Engineering (NITIE), Mumbai, India

2. Deparmtent of Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Mumbai, India

Publisher

Informa UK Limited

Subject

Health Policy,Leadership and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/20479700.2020.1810453

Reference71 articles.

1. WHO. (2020a). Coronavirus disease (COVID-19) outbreak : rights, roles and responsibilities of health workers, including key considerations for occupational safety and health.

2. ICN. (2020). ICN calls for data on healthcare worker infection rates and deaths. Available at: https://www.icn.ch/news/icn-calls-data-healthcare-worker-infection-rates-and-deaths.

3. Worldometer. (2020). COVID-19 Coronavirus Pandemic. Available at: https://www.worldometers.info/coronavirus/.

4. Empirical analysis and classification of database errors in Scopus and Web of Science

5. Epidemics control and logistics operations: A review

Cited by 84 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. AI‐Based Surveillance Systems for Effective Attendance Management;Mathematical Models Using Artificial Intelligence for Surveillance Systems;2024-08-09

2. Cybersecurity of Internet of Things in the health sector: Understanding the applicable legal framework;Computer Law & Security Review;2024-07

3. Smartphone-based device for point-of-care diagnostics of pulmonary inflammation using convolutional neural networks (CNNs);Scientific Reports;2024-03-22

4. COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge;Sensors;2024-02-28

5. Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory;Technological Forecasting and Social Change;2024-01