<scp>CovidXAI</scp> : explainable <scp>AI</scp> assisted web application for <scp>COVID</scp> ‐19 vaccine prioritization-Reference-Cited by-同舟云学术

CovidXAI : explainable AI assisted web application for COVID ‐19 vaccine prioritization

Published:2022-06-03 Issue:4 Volume:5 Page:
ISSN:2476-1508
Container-title:Internet Technology Letters
language:en
Short-container-title:Internet Technology Letters

Author:

Chowdhury Deepraj¹^ORCID,Poddar Saranda²,Banarjee Soham¹,Pal Riya³,Gani Abrar⁴,Ellis Caroline⁵,Arya Rajesh Chand⁶,Gill Sukhpal Singh⁷^ORCID,Uhlig Steve⁷

Affiliation:

1. Department of Electronics and Communications Engineering International Institute of Information Technology Naya Raipur India

2. Department of Computer Science and Engineering RCC Institute of Information Technology Kolkata India

3. Department of Environmental Science University of Kalyani Kalyani India

4. Department of Trauma and Orthopaedics St George′s University Hospitals NHS Foundation Hospital London UK

5. Department of Anaesthesia Ashford and St Peters Hospital, NHS Foundation Trust Surrey UK

6. Department of Cardiac Anaesthesia Hero DMC Heart Institute, unit Dayanand Medical College and Hospital Ludhiana India

7. School of Electronic Engineering and Computer Science, Queen Mary University of London London UK

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.381

Reference10 articles.

1. A real‐time crowd monitoring and management system for social distance classification and healthcare using deep learning;Yadav S;J Healthcar Eng,2022

2. COVID-19 and comorbidities: Deleterious impact on infected patients

3. Risk factors for Covid-19 severity and fatality: a structured literature review

4. Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

5. Model-informed COVID-19 vaccine prioritization strategies by age and serostatus

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