
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:
Estimation of the main conditions in (SARS-CoV-2) Covid-19 patients that increase the risk of death using Machine learning, the case of Mexico
José A. Guzmán-Torres, Elia Mercedes Alonso Guzmán, Francisco J. Domínguez-Mota, et al.
Results in Physics (2021) Vol. 27, pp. 104483-104483
Open Access | Times Cited: 10
José A. Guzmán-Torres, Elia Mercedes Alonso Guzmán, Francisco J. Domínguez-Mota, et al.
Results in Physics (2021) Vol. 27, pp. 104483-104483
Open Access | Times Cited: 10
Showing 10 citing articles:
Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters
Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, et al.
Information (2022) Vol. 13, Iss. 7, pp. 330-330
Open Access | Times Cited: 28
Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, et al.
Information (2022) Vol. 13, Iss. 7, pp. 330-330
Open Access | Times Cited: 28
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang
International Journal of Medical Informatics (2022) Vol. 164, pp. 104791-104791
Open Access | Times Cited: 23
Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang
International Journal of Medical Informatics (2022) Vol. 164, pp. 104791-104791
Open Access | Times Cited: 23
A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
Machine-learning models for detection of cellular states of human body using bio-impedance spectroscopy
Kusum Tara, Md Hasibul Islam
Sensing and Bio-Sensing Research (2024) Vol. 44, pp. 100648-100648
Open Access | Times Cited: 3
Kusum Tara, Md Hasibul Islam
Sensing and Bio-Sensing Research (2024) Vol. 44, pp. 100648-100648
Open Access | Times Cited: 3
Assessment of SQL and NoSQL Systems to Store and Mine COVID-19 Data
João Antas, Rodrigo Rocha Silva, Jorge Bernardino
Computers (2022) Vol. 11, Iss. 2, pp. 29-29
Open Access | Times Cited: 10
João Antas, Rodrigo Rocha Silva, Jorge Bernardino
Computers (2022) Vol. 11, Iss. 2, pp. 29-29
Open Access | Times Cited: 10
Identification of Latent Topics in Patients Surviving COVID-19 in Mexico
Angélica Guzmán-Ponce, Rubén Fernández-Beltran, Rosa María Valdovinos Rosas, et al.
IEEE Latin America Transactions (2023) Vol. 21, Iss. 2, pp. 328-334
Open Access
Angélica Guzmán-Ponce, Rubén Fernández-Beltran, Rosa María Valdovinos Rosas, et al.
IEEE Latin America Transactions (2023) Vol. 21, Iss. 2, pp. 328-334
Open Access
Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling
Mario Santana-Cibrian, Manuel Adrian Acuña‐Zegarra, Mayra R. Tocto-Erazo, et al.
Elsevier eBooks (2023), pp. 43-72
Closed Access
Mario Santana-Cibrian, Manuel Adrian Acuña‐Zegarra, Mayra R. Tocto-Erazo, et al.
Elsevier eBooks (2023), pp. 43-72
Closed Access
A model supported in the clinical covid patient record using DL for pandemic preparedness
José A. Guzmán-Torres, Francisco J. Domínguez-Mota, G. Tinoco-Guerrero
(2022), pp. 1-8
Closed Access
José A. Guzmán-Torres, Francisco J. Domínguez-Mota, G. Tinoco-Guerrero
(2022), pp. 1-8
Closed Access
Analyzing the Death Ratio of Covid Patients using Multiple Logistic Regression in Comparison with Linear Regression for Improving Accuracy
B Sai Bharath, Kumar Raju, N. Deepa
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. SO4
Open Access
B Sai Bharath, Kumar Raju, N. Deepa
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. SO4
Open Access