An explainable multi-class decision support framework to predict COVID-19 prognosis utilizing biomarkers-Reference-Cited by-同舟云学术

An explainable multi-class decision support framework to predict COVID-19 prognosis utilizing biomarkers

Published:2023-11-05 Issue:2 Volume:10 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Chadaga Krishnaraj¹,Prabhu Srikanth¹^ORCID,Bhat Vivekananda¹,Sampathila Niranjana²,Umakanth Shashikiran³,Chadaga Rajagopala⁴,Shashi Kumar G. S.⁵,Swathi K. S.⁶

Affiliation:

1. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2. Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

3. Department of Medicine, Dr. TMA Hospital, Manipal Academy of Higher Education, Manipal, India

4. Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

5. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

6. Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India

Funder

Manipal Academy of Higher Education

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2023.2272361

Reference43 articles.

1. The scope of the total quality management applications of the personnel according to Pareto chart in private hospitals in Abu Dhabi

2. Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

3. Artificial intelligence (AI) healthcare technology innovations: the current state and challenges from a life science industry perspective

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