Che G. Ngufor, Ph.D.
Affiliations: | 2014 | Computational Sciences and Informatics | George Mason University, Washington, DC |
Area:
Statistics, Mathematics, Computer ScienceGoogle:
"Che Ngufor"Parents
Sign in to add mentor| James E. Gentle | grad student | 2014 | George Mason | |
| (Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Shazly SA, Borah BJ, Ngufor CG, et al. (2022) Impact of labor characteristics on maternal and neonatal outcomes of labor: A machine-learning model. Plos One. 17: e0273178 |
| Cai C, Tafti AP, Ngufor C, et al. (2021) Using Ensemble of Ensemble Machine Learning Methods to Predict Outcomes of Cardiac Resynchronization. Journal of Cardiovascular Electrophysiology |
| Herrin J, Abraham NS, Yao X, et al. (2021) Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment. Jama Network Open. 4: e2110703 |
| Goyal A, Ngufor C, Kerezoudis P, et al. (2019) Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry. Journal of Neurosurgery. Spine. 1-11 |
| Chen D, Goyal G, Go RS, et al. (2019) Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia. Jco Clinical Cancer Informatics. 1-11 |
| Ngufor C, Houten HV, Caffo BS, et al. (2018) Mixed Effect Machine Learning: a framework for predicting longitudinal change in hemoglobin A1c. Journal of Biomedical Informatics |
| Murphree D, Ngufor C, Upadhyaya S, et al. (2015) Ensemble learning approaches to predicting complications of blood transfusion. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 7222-5 |
| Ngufor C, Murphree D, Upadhyaya S, et al. (2015) Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach. Studies in Health Technology and Informatics. 216: 721-5 |