Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 prediction for COVID-19 disease severity at hospital admission
Ganesh Raman, Bilal Ashraf, Yusuf Demir, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 32
Random forest regression for prediction of Covid-19 daily cases and deaths in Turkey
Figen Özen
Heliyon (2024) Vol. 10, Iss. 4, pp. e25746-e25746
Open Access | Times Cited: 14
Integrating AI/ML Models for Patient Stratification Leveraging Omics Dataset and Clinical Biomarkers from COVID-19 Patients: A Promising Approach to Personalized Medicine
Babatunde Kazeem Bello, Yogesh Bundey, Roshan Bhave, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6250-6250
Open Access | Times Cited: 11
A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records
Ruichen Rong, Zifan Gu, Hongyin Lai, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Machine learning model identification and prediction of patients’ need for ICU admission: A systematic review
Yujing Chen, Han Chen, Qian Sun, et al.
The American Journal of Emergency Medicine (2023) Vol. 73, pp. 166-170
Closed Access | Times Cited: 7
COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm
A Hamar, Daryan Mohammed, Alex Váradi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
COVID-19 Severity Prediction Using Combined Machine Learning and Transfer Learning Approaches
Ame Rayan Rambola, A. Suruliandi, S. P. Raja
Brazilian Archives of Biology and Technology (2024) Vol. 67
Open Access | Times Cited: 1
Development of a novel machine learning model based on laboratory and imaging indices to predict acute cardiac injury in cancer patients with COVID-19 infection: a retrospective observational study
G. Wan, Xuefeng Wu, Xiaowei Zhang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 19, pp. 17039-17050
Closed Access | Times Cited: 1
Prediction of COVID-19 By Applying Supervised Machine Learning Techniques
Usman Shabbir, Mustafa Shakir
Journal of Innovative Computing and Emerging Technologies (2024) Vol. 4, Iss. 1
Open Access
Quantifying impairment and disease severity using AI models trained on healthy subjects
Boyang Yu, Aakash Kaku, Kangning Liu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access
Efficient Clinical Decision-Making Process via AI-Based Multimodal Data Fusion: A COVID-19 Case Study
Daniel Iglesias, Joaquim de Moura, Pedro J. Marcos, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38642-e38642
Open Access
AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania’s First Wave of COVID-19
Sonja C. S. Simon, Igor Bibi, Daniel Schaffert, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1272-1272
Open Access
Lessons Learnt from the Management of Severe COVID-19 Disease in a 93-year-old with Chronic Co-Morbidities at a Resource-constrained Centre in Nigeria – A Retrospective Single Case Study
Chidinma B. Nwatu, Obumneme Benneth Anyim, Uche Unigwe
International Journal of TROPICAL DISEASE & Health (2023) Vol. 44, Iss. 10, pp. 17-24
Open Access
Development and validation of Robust and Interpretable Early Triaging Support system for patients hospitalized with COVID-19: Predictive algorithm modeling and interpretation study (Preprint)
Sangwon Baek, Yeon Joo Jeong, Yun‐Hyeon Kim, et al.
Journal of Medical Internet Research (2023)
Open Access
Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study (Preprint)
Sangwon Baek, Yeon Joo Jeong, Yun‐Hyeon Kim, et al.
(2023)
Open Access
Page 1

Scroll to top