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 models for prediction of HF and CKD development in early-stage type 2 diabetes patients
Eiichiro Kanda, Atsushi Suzuki, Masaki Makino, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
Eiichiro Kanda, Atsushi Suzuki, Masaki Makino, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
Showing 12 citing articles:
Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0281922-e0281922
Open Access | Times Cited: 45
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0281922-e0281922
Open Access | Times Cited: 45
Predicting coronary heart disease in Chinese diabetics using machine learning
Cai-Yi Ma, Yamei Luo, Tianyu Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107952-107952
Closed Access | Times Cited: 13
Cai-Yi Ma, Yamei Luo, Tianyu Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107952-107952
Closed Access | Times Cited: 13
Machine Learning Models for Prediction of Diabetic Microvascular Complications
Sarah Kanbour, Catharine Harris, Benjamin Lalani, et al.
Journal of Diabetes Science and Technology (2024) Vol. 18, Iss. 2, pp. 273-286
Closed Access | Times Cited: 5
Sarah Kanbour, Catharine Harris, Benjamin Lalani, et al.
Journal of Diabetes Science and Technology (2024) Vol. 18, Iss. 2, pp. 273-286
Closed Access | Times Cited: 5
Predicting CKD progression using time-series clustering and light gradient boosting machines
Hirotaka Saito, Hiroki Yoshimura, Kenichi Tanaka, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Hirotaka Saito, Hiroki Yoshimura, Kenichi Tanaka, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
Lianhua Liu, Bo Bi, Li Juan Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 5
Lianhua Liu, Bo Bi, Li Juan Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 5
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
Duo Xu, Zeshui Xu
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102950-102950
Closed Access | Times Cited: 4
Duo Xu, Zeshui Xu
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102950-102950
Closed Access | Times Cited: 4
Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes
Tadesse Melaku Abegaz, Ahmead Baljoon, Oluwaseun Kilanko, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107289-107289
Closed Access | Times Cited: 9
Tadesse Melaku Abegaz, Ahmead Baljoon, Oluwaseun Kilanko, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107289-107289
Closed Access | Times Cited: 9
Impact of Residential Social Deprivation on Prediction of Heart Failure in Patients With Type 2 Diabetes: External Validation and Recalibration of the WATCH-DM Score Using Real World Data
Salil V. Deo, Sadeer Al‐Kindi, Issam Motairek, et al.
Circulation Cardiovascular Quality and Outcomes (2024) Vol. 17, Iss. 3
Closed Access | Times Cited: 2
Salil V. Deo, Sadeer Al‐Kindi, Issam Motairek, et al.
Circulation Cardiovascular Quality and Outcomes (2024) Vol. 17, Iss. 3
Closed Access | Times Cited: 2
Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study
Md Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16545-16565
Closed Access
Md Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16545-16565
Closed Access
Development and external validation of a machine learning model to predict diabetic nephropathy in T1DM patients in the real-world
Zouxi Du, Liu Xiaoning, Jiayu Li, et al.
Acta Diabetologica (2024)
Closed Access
Zouxi Du, Liu Xiaoning, Jiayu Li, et al.
Acta Diabetologica (2024)
Closed Access
Deep learning in predicting genetic disorders: A case study of diabetic kidney disease
Iliyas Ibrahim Iliyas, Abdullahi Isa, Muhammad Lefami Zarma, et al.
Elsevier eBooks (2024), pp. 329-347
Closed Access
Iliyas Ibrahim Iliyas, Abdullahi Isa, Muhammad Lefami Zarma, et al.
Elsevier eBooks (2024), pp. 329-347
Closed Access
A systematic assessment and meta-analysis of machine learning methods for predicting and Classifying severe Long Term kidney disease
S.C. Mathai, K. Thirunavukkarasu
(2023), pp. 1-6
Closed Access
S.C. Mathai, K. Thirunavukkarasu
(2023), pp. 1-6
Closed Access
