| 2019 | AMIA | Ensemble Imputation for Healthcare Data. | David Chen, Christopher Scott, Christina L. Luong, Itzhak Z. Attia, Che Ngufor, Adelaide M. Arruda-Olson, Patricia A. Pellikka |
| 2019 | AMIA | A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. | Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, Gyrgy J. Simon |
| 2019 | AMIA | Using Electronic Health Record Data to Identify Patients with Prediabetes. | Thomas J. O'Byrne, M. Regina Castro, Che Ngufor, Gyrgy J. Simon, Pedro J. Caraballo |
| 2019 | AMIA | Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. | Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick |
| 2019 | DSAA | Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. | Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor |
| 2017 | AMIA | Identification of Clinically Meaningful Clusters of Multi-morbidity in a National Cohort of Adults Using Unsupervised Learning. | Che Ngufor, Rozalina G. McCoy, Lixia Yao, Lindsey R. Sangaralingham, Shannon M. Dunlay, Nilay D. Shah |
| 2017 | AMIA | Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. | Che Ngufor, Matthew A. Warner, Dennis Murphree, Hongfang Liu, Rickey E. Carter, Curtis B. Storlie, Daryl J. Kor |
| 2016 | AMIA | Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. | Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor |
| 2015 | AIME | A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes. | Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak |
| 2015 | DSAA | Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes. | Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak |
| 2014 | AMIA | Creating Clinically Homogeneous Groups of Prostate Cancer Patients. | Janusz Wojtusiak, Che Ngufor, Lorens Helmchen, Jack Hadley |
| 2014 | FlAIRS | Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction. | Che Ngufor, Janusz Wojtusiak, Andrea Hooker, Talha Oz, Jack Hadley |
| 2013 | AMIA | Mining Progress Notes for Prediction of Activities of Daily Living. | Talha Oz, Che Ngufor, Janusz Wojtusiak |
| 2011 | ICMLA | Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data. | Janusz Wojtusiak, Che Ngufor, John Shiver, Ronald Ewald |