Advanced search
Publication Cover
Cogent Engineering Volume 8, 2021 - Issue 1
Submit an article Journal homepage
6,762
Views
14
CrossRef citations to date
0
Altmetric
COMPUTER SCIENCE

Battling COVID-19 using machine learning: A review

Krishnaraj Chadaga1 Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, IndiaORCID Iconhttps://orcid.org/0000-0002-9459-8423View further author information
ORCID Icon,
Srikanth Prabhu1 Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3826-1084View further author information
ORCID Icon,
Bhat K Vivekananda1 Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, IndiaORCID Iconhttps://orcid.org/0000-0003-3411-9221View further author information
ORCID Icon,
S. Niranjana2 Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, IndiaORCID Iconhttps://orcid.org/0000-0002-3345-360XView further author information
ORCID Icon &
Shashikiran Umakanth3 Department of Medicine, Dr TMA Pai Hospital, Manipal Academy of Higher Education, IndiaORCID Iconhttps://orcid.org/0000-0001-5210-7457View further author information
ORCID Icon |
D T Pham4 School of Mechanical Engineering, University of Birmingham, Birmingham, United KingdomView further author information
(Reviewing editor)
Article: 1958666 | Received 03 Jun 2021, Accepted 15 Jul 2021, Published online: 11 Aug 2021

Citations (14)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (5)

Duong Thi Kim Chi, Tran Van Lang & Thanh Q. Nguyen. (2023) Clinical data-driven approach to identifying COVID-19 and influenza from a gradient-boosting model. Cogent Engineering 10:1.
Read now
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Swathi K S & Saptarshi Sengupta. (2022) Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach. Cogent Engineering 9:1.
Read now
Shahanaz Abdul Gafoor, Niranjana Sampathila, Madhushankara M & Swathi K S. (2022) Deep learning model for detection of COVID-19 utilizing the chest X-ray images. Cogent Engineering 9:1.
Read now
Serdar Erişen. (2022) IoT-Based Real-Time updating multi-layered learning system applied for a special care context during COVID-19. Cogent Engineering 9:1.
Read now
Hridoy Jyoti Mahanta & G. Narahari Sastry. (2022) COVID-19 impact on socio-economic and health interventions : A gaps and peaks analysis using clustering approach. Journal of Statistics and Management Systems 25:8, pages 2123-2153.
Read now

Articles from other publishers (9)

Ercan Gürsoy & Yasin Kaya. (2023) An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works. Multimedia Systems 29:3, pages 1603-1627.
Crossref
Hilda Mayrose, G. Muralidhar Bairy, Niranjana Sampathila, Sushma Belurkar & Kavitha Saravu. (2023) Machine Learning-Based Detection of Dengue from Blood Smear Images Utilizing Platelet and Lymphocyte Characteristics. Diagnostics 13:2, pages 220.
Crossref
Ricardo-Adán Salas-Rueda, Jesús Ramírez-Ortega, Selene-Marisol Martínez-Ramírez & Clara Alvarado-Zamorano. (2023) Uso de los algoritmos Machine Learning para analizar Moodle y los teléfonos inteligentes en el proceso educativo de la Física. Texto Livre 16.
Crossref
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga & Shashikiran Umakanth. (2022) Diagnosing COVID-19 using artificial intelligence: a comprehensive review. Network Modeling Analysis in Health Informatics and Bioinformatics 11:1.
Crossref
Yashodhan Ketkar & Sushopti Gawade. (2022) A decision support system for selecting the most suitable machine learning in healthcare using user parameters and requirements. Healthcare Analytics 2, pages 100117.
Crossref
Niranjana Sampathila, Krishnaraj Chadaga, Neelankit Goswami, Rajagopala P. Chadaga, Mayur Pandya, Srikanth Prabhu, Muralidhar G. Bairy, Swathi S. Katta, Devadas Bhat & Sudhakara P. Upadya. (2022) Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images. Healthcare 10:10, pages 1812.
Crossref
Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta & Gopal Nath. (2022) Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters. Information 13:7, pages 330.
Crossref
Krishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, Shashikiran Umakanth, Vivekananda Bhat & Niranjana Sampathila. (2022) Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning. Interdisciplinary Sciences: Computational Life Sciences 14:2, pages 452-470.
Crossref
Krishnaraj Chadaga, Srikanth Prabhu, K Vivekananda Bhat, Shashikiran Umakanth & Niranjana Sampathila. (2022) Medical diagnosis of COVID-19 using blood tests and machine learning. Journal of Physics: Conference Series 2161:1, pages 012017.
Crossref

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.