
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:
Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying
Mohammad Mehdi Banoei, Roshan Dinparastisaleh, Ali Vaeli Zadeh, et al.
Critical Care (2021) Vol. 25, Iss. 1
Open Access | Times Cited: 78
Mohammad Mehdi Banoei, Roshan Dinparastisaleh, Ali Vaeli Zadeh, et al.
Critical Care (2021) Vol. 25, Iss. 1
Open Access | Times Cited: 78
Showing 1-25 of 78 citing articles:
Artificial Intelligence in Critical Care Medicine
Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont
Critical Care (2022) Vol. 26, Iss. 1
Open Access | Times Cited: 93
Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont
Critical Care (2022) Vol. 26, Iss. 1
Open Access | Times Cited: 93
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods
Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105426-105426
Open Access | Times Cited: 62
Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105426-105426
Open Access | Times Cited: 62
Machine learning approaches in Covid-19 severity risk prediction in Morocco
Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 48
Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 48
Machine learning for emerging infectious disease field responses
Han-Yi Robert Chiu, Chun-Kai Hwang, Shey‐Ying Chen, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 39
Han-Yi Robert Chiu, Chun-Kai Hwang, Shey‐Ying Chen, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 39
Prognostic models in COVID-19 infection that predict severity: a systematic review
Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi‐Dehkordi, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 4, pp. 355-372
Open Access | Times Cited: 35
Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi‐Dehkordi, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 4, pp. 355-372
Open Access | Times Cited: 35
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Muhammad Usman Tariq, Shuhaida Ismail
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294289-e0294289
Open Access | Times Cited: 10
Muhammad Usman Tariq, Shuhaida Ismail
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294289-e0294289
Open Access | Times Cited: 10
Application of Machine Learning to Predict COVID-19 Spread via an Optimized BPSO Model
Eman H. Alkhammash, Sara A. Assiri, Dalal Nemenqani, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 457-457
Open Access | Times Cited: 23
Eman H. Alkhammash, Sara A. Assiri, Dalal Nemenqani, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 457-457
Open Access | Times Cited: 23
Infectious Diseases Society of America Guidelines on Infection Prevention for Healthcare Personnel Caring for Patients With Suspected or Known Coronavirus Disease 2019
John B. Lynch, Perica Davitkov, Deverick J. Anderson, et al.
Clinical Infectious Diseases (2021) Vol. 78, Iss. 7, pp. e230-e249
Open Access | Times Cited: 34
John B. Lynch, Perica Davitkov, Deverick J. Anderson, et al.
Clinical Infectious Diseases (2021) Vol. 78, Iss. 7, pp. e230-e249
Open Access | Times Cited: 34
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features
Siavash Shirzadeh Barough, Seyed Amir Ahmad Safavi‐Naini, Fatemeh Siavoshi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Siavash Shirzadeh Barough, Seyed Amir Ahmad Safavi‐Naini, Fatemeh Siavoshi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
SARS-CoV-2 susceptibility and COVID-19 illness course and outcome in people with pre-existing neurodegenerative disorders: systematic review with frequentist and Bayesian meta-analyses
Muhannad Smadi, Melina Kaburis, Youval Schnapper, et al.
The British Journal of Psychiatry (2023) Vol. 223, Iss. 2, pp. 348-361
Open Access | Times Cited: 15
Muhannad Smadi, Melina Kaburis, Youval Schnapper, et al.
The British Journal of Psychiatry (2023) Vol. 223, Iss. 2, pp. 348-361
Open Access | Times Cited: 15
Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method
Nusrat Tasnim, Shamim Al Mamun, Mohammad Shahidul Islam, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6138-6138
Open Access | Times Cited: 15
Nusrat Tasnim, Shamim Al Mamun, Mohammad Shahidul Islam, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6138-6138
Open Access | Times Cited: 15
Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study
Mohammad Mehdi Banoei, Haniyeh Rafiepoor, Kazem Zendehdel, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 12
Mohammad Mehdi Banoei, Haniyeh Rafiepoor, Kazem Zendehdel, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 12
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis
Ruiyao Chen, Jiayuan Chen, Sen Yang, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105151-105151
Closed Access | Times Cited: 12
Ruiyao Chen, Jiayuan Chen, Sen Yang, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105151-105151
Closed Access | Times Cited: 12
Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study
Pablo Ferri, Nekane Romero-García, Rafael Badenes, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107803-107803
Open Access | Times Cited: 12
Pablo Ferri, Nekane Romero-García, Rafael Badenes, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107803-107803
Open Access | Times Cited: 12
Chronic disease progression prediction in healthcare operations
Zlatana Nenova, K J Foster
Elsevier eBooks (2025)
Closed Access
Zlatana Nenova, K J Foster
Elsevier eBooks (2025)
Closed Access
Assessing severe pneumonia risk in children via clinical prognostic model based on laboratory markers
Suqi Cao, Lei Liu, Yang Liu, et al.
International Immunopharmacology (2025) Vol. 151, pp. 114317-114317
Closed Access
Suqi Cao, Lei Liu, Yang Liu, et al.
International Immunopharmacology (2025) Vol. 151, pp. 114317-114317
Closed Access
Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage
Hansol Chang, Jae Yong Yu, Sunyoung Yoon, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Hansol Chang, Jae Yong Yu, Sunyoung Yoon, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms
Parastoo Amiri, Mahdieh Montazeri, Fahimeh Ghasemian, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
Parastoo Amiri, Mahdieh Montazeri, Fahimeh Ghasemian, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
Impact of Hypogammaglobulinemia on the Course of COVID-19 in a Non-Intensive Care Setting: A Single-Center Retrospective Cohort Study
Riccardo Scarpa, Alessandro Dell’Edera, Carla Felice, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 14
Riccardo Scarpa, Alessandro Dell’Edera, Carla Felice, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 14
DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome
Martina Bradić, Sarah Taleb, Binitha Thomas, et al.
Journal of Translational Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 12
Martina Bradić, Sarah Taleb, Binitha Thomas, et al.
Journal of Translational Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 12
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
Yu Xin, Hongxu Li, Yuxin Zhou, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Yu Xin, Hongxu Li, Yuxin Zhou, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Dmitriy Viderman, Alexander Kotov, Maxim N. Popov, et al.
International Journal of Medical Informatics (2023) Vol. 182, pp. 105308-105308
Closed Access | Times Cited: 7
Dmitriy Viderman, Alexander Kotov, Maxim N. Popov, et al.
International Journal of Medical Informatics (2023) Vol. 182, pp. 105308-105308
Closed Access | Times Cited: 7
Impact of asthma on COVID-19 mortality in the United States: Evidence based on a meta-analysis
Xueya Han, Jie Xu, Hongjie Hou, et al.
International Immunopharmacology (2021) Vol. 102, pp. 108390-108390
Open Access | Times Cited: 15
Xueya Han, Jie Xu, Hongjie Hou, et al.
International Immunopharmacology (2021) Vol. 102, pp. 108390-108390
Open Access | Times Cited: 15