OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Severity detection for the coronavirus disease 2019 (COVID-19) patients using a machine learning model based on the blood and urine tests
Haochen Yao, Nan Zhang, Ruochi Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
Haochen Yao, Nan Zhang, Ruochi Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
Showing 10 citing articles:
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs
Marcos Antônio Alves, Giulia Zanon de Castro, Bruno Alberto Soares Oliveira, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104335-104335
Open Access | Times Cited: 98
Marcos Antônio Alves, Giulia Zanon de Castro, Bruno Alberto Soares Oliveira, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104335-104335
Open Access | Times Cited: 98
A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques
S. Habashi, Murat Koyuncu, Roohallah Alizadehsani
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1749-1749
Open Access | Times Cited: 4
S. Habashi, Murat Koyuncu, Roohallah Alizadehsani
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1749-1749
Open Access | Times Cited: 4
COVID-19 Detection using Deep Learning
Shani Deo Pandey, Gautam Sharma, Gautam Sharma, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 154-164
Open Access | Times Cited: 1
Shani Deo Pandey, Gautam Sharma, Gautam Sharma, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 154-164
Open Access | Times Cited: 1
Applying machine learning to assist the diagnosis of COVID-19 from blood and urine exams
Jessica Almeida dos Santos, Lilian Berton
(2021), pp. 256-267
Open Access | Times Cited: 1
Jessica Almeida dos Santos, Lilian Berton
(2021), pp. 256-267
Open Access | Times Cited: 1
Prediction of COVID 19 using marching learning techniques
M. Vedaraj, K. Saravanan, V. Prasanna Srinivasan, et al.
International Journal of Health Sciences (2022), pp. 9467-9474
Open Access
M. Vedaraj, K. Saravanan, V. Prasanna Srinivasan, et al.
International Journal of Health Sciences (2022), pp. 9467-9474
Open Access
Peer Review #2 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.2)"
P Gonzalez-Dias
(2021)
Open Access
P Gonzalez-Dias
(2021)
Open Access
Peer Review #1 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.1)"
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Open Access
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Open Access
Peer Review #3 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.1)"
(2021)
Open Access
(2021)
Open Access
Peer Review #1 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.2)"
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Open Access
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Open Access
Peer Review #3 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.2)"
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Closed Access
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Closed Access
