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 30-day readmission prediction models for patients with heart failure: a systematic review
M Yu, Youn‐Jung Son
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 7, pp. 711-719
Closed Access | Times Cited: 7
M Yu, Youn‐Jung Son
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 7, pp. 711-719
Closed Access | Times Cited: 7
Showing 7 citing articles:
Machine learning models for predicting medium-term heart failure prognosis: Discrimination and calibration analyses
Takuya Nishino, Katsuhito Kato, Shuhei Tara, et al.
Research Square (Research Square) (2025)
Closed Access
Takuya Nishino, Katsuhito Kato, Shuhei Tara, et al.
Research Square (Research Square) (2025)
Closed Access
Predicting 30 Days Hospital Readmission for Heart Failure patients using word embeddings:Algorithm Development and Validation (Preprint)
Prabin Shakya, Alka Khaneja, Kavishwar B. Wagholikar
(2025)
Closed Access
Prabin Shakya, Alka Khaneja, Kavishwar B. Wagholikar
(2025)
Closed Access
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion
Moxuan Ma, Muyu Wang, Wei Lan, et al.
Journal of Biomedical Informatics (2025), pp. 104823-104823
Closed Access
Moxuan Ma, Muyu Wang, Wei Lan, et al.
Journal of Biomedical Informatics (2025), pp. 104823-104823
Closed Access
Heart failure prognosis prediction : Let’s start with the MDL-HFP model
Huiting Ma, Dengao Li, Jian Fu, et al.
Information Systems (2024) Vol. 125, pp. 102408-102408
Closed Access | Times Cited: 1
Huiting Ma, Dengao Li, Jian Fu, et al.
Information Systems (2024) Vol. 125, pp. 102408-102408
Closed Access | Times Cited: 1
Forecasting Patient Early Readmission from Irish Hospital Discharge Records Using Conventional Machine Learning Models
Minh-Khoi Pham, Tai Tan, Martin Crane, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2405-2405
Open Access | Times Cited: 1
Minh-Khoi Pham, Tai Tan, Martin Crane, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2405-2405
Open Access | Times Cited: 1
Predictors of 30-day readmission based on machine learning in patients with heart failure: an essential assessment for precision care
Bei Dou, Philip Moons
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 7, pp. e134-e135
Open Access
Bei Dou, Philip Moons
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 7, pp. e134-e135
Open Access
Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission
R. R. Martin, Catalina Morales-Hernández, C. Barbera, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1653-1666
Open Access
R. R. Martin, Catalina Morales-Hernández, C. Barbera, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1653-1666
Open Access
