Graph data science and machine learning for the detection of COVID-19 infection from symptoms
Background COVID-19 is an infectious disease caused by SARS-CoV-2. The symptoms of COVID-19 vary from mild-to-moderate respiratory illnesses, and it sometimes requires urgent medication. Therefore, it is crucial to detect COVID-19 at an early stage through specific clinical tests, testing kits, and...
Main Authors: | Eman Alqaissi, Fahd Alotaibi, Muhammad Sher Ramzan |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-04-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1333.pdf |
Similar Items
-
Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases
by: Eman Alqaissi, et al.
Published: (2023-12-01) -
Graph theory with applications to algorithms and computer science
Published: (1985) -
Auction-Based Learning for Question Answering over Knowledge Graphs
by: Garima Agrawal, et al.
Published: (2023-06-01) -
Applying precision medicine principles to the management of multimorbidity: the utility of comorbidity networks, graph machine learning, and knowledge graphs
by: Richard John Woodman, et al.
Published: (2024-01-01) -
MultiGML: Multimodal graph machine learning for prediction of adverse drug events
by: Sophia Krix, et al.
Published: (2023-09-01)