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:
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study
Dongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 12
Dongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 12
Showing 12 citing articles:
Statistical models versus machine learning approach for competing risks in proctological surgery
Lucia Romano, Andrea Manno, Fabrizio Rossi, et al.
Updates in Surgery (2025)
Open Access
Lucia Romano, Andrea Manno, Fabrizio Rossi, et al.
Updates in Surgery (2025)
Open Access
Artificial Intelligence and Machine Learning: An Updated Systematic Review of Their Role in Obstetrics and Midwifery
Paraskevi Giaxi, Victoria Vivilaki, Angeliki Sarella, et al.
Cureus (2025)
Open Access
Paraskevi Giaxi, Victoria Vivilaki, Angeliki Sarella, et al.
Cureus (2025)
Open Access
Presenting a prediction model for HELLP syndrome through data mining
Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Machine Learning Models for Predicting Adverse Pregnancy Outcomes in Pregnant Women with Systemic Lupus Erythematosus
Xinyu Hao, Dongying Zheng, Muhanmmad Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 612-612
Open Access | Times Cited: 10
Xinyu Hao, Dongying Zheng, Muhanmmad Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 612-612
Open Access | Times Cited: 10
Top–Down Proteomics of Human Saliva, Analyzed with Logistic Regression and Machine Learning Methods, Reveal Molecular Signatures of Ovarian Cancer
Francesca Scebba, Stefano Salvadori, Silvia Cateni, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15716-15716
Open Access | Times Cited: 4
Francesca Scebba, Stefano Salvadori, Silvia Cateni, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15716-15716
Open Access | Times Cited: 4
Risk Assessment for Preeclampsia in the Preconception Period Based on Maternal Clinical History via Machine Learning Methods
Yeliz Kaya, Zafer Bütün, Özer Çelik, et al.
Journal of Clinical Medicine (2024) Vol. 14, Iss. 1, pp. 155-155
Open Access | Times Cited: 1
Yeliz Kaya, Zafer Bütün, Özer Çelik, et al.
Journal of Clinical Medicine (2024) Vol. 14, Iss. 1, pp. 155-155
Open Access | Times Cited: 1
Machine Learning for Perinatal Complication Prediction: A Systematic Review
Dian Lestari, Fairuz Iqbal Maulana, Satria Fadil Persada, et al.
Lecture notes in networks and systems (2023), pp. 789-803
Closed Access | Times Cited: 2
Dian Lestari, Fairuz Iqbal Maulana, Satria Fadil Persada, et al.
Lecture notes in networks and systems (2023), pp. 789-803
Closed Access | Times Cited: 2
Effect of variable selection strategy on the predictive models for adverse pregnancy outcomes of pre-eclampsia: A retrospective study
Dongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Placenta and Reproductive Medicine (2024) Vol. 3
Open Access
Dongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Placenta and Reproductive Medicine (2024) Vol. 3
Open Access
Development and validation of nomogram for predicting the risk of transferring to the ICU for children with influenza
Ruiyang Sun, Xue Zhang, Jiapu Hou, et al.
European Journal of Clinical Microbiology & Infectious Diseases (2024) Vol. 43, Iss. 9, pp. 1795-1805
Closed Access
Ruiyang Sun, Xue Zhang, Jiapu Hou, et al.
European Journal of Clinical Microbiology & Infectious Diseases (2024) Vol. 43, Iss. 9, pp. 1795-1805
Closed Access
Prediction of adverse maternal and perinatal outcomes associated with pre-eclampsia and hypertensive disorders of pregnancy: a systematic review and meta-analysis
Valentina Bucher, Alexandra Roddy Mitchell, Pia Gudmundsson, et al.
EClinicalMedicine (2024) Vol. 76, pp. 102861-102861
Closed Access
Valentina Bucher, Alexandra Roddy Mitchell, Pia Gudmundsson, et al.
EClinicalMedicine (2024) Vol. 76, pp. 102861-102861
Closed Access
A Prospective Study on Risk Prediction of Preeclampsia Using Bi-Platform Calibration and Machine Learning
Zhiguo Zhao, Jiaxin Dai, Hongyan Chen, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 19, pp. 10684-10684
Open Access
Zhiguo Zhao, Jiaxin Dai, Hongyan Chen, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 19, pp. 10684-10684
Open Access
Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration
Brenda F. Narice, Mariam Labib, Mengxiao Wang, et al.
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access
Brenda F. Narice, Mariam Labib, Mengxiao Wang, et al.
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access
Dual statistical models link baseline visual attention measure to risk for significant symptomatic concussion in sports
Lisa Spielman, Jun Maruta, Jamshid Ghajar
Concussion (2023) Vol. 8, Iss. 4
Open Access
Lisa Spielman, Jun Maruta, Jamshid Ghajar
Concussion (2023) Vol. 8, Iss. 4
Open Access
