Che Ngufor

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 19

Top Venues

George Mason University, Fairfax, Virginia, USA (PHD)

Education History

George Mason University, Fairfax, Virginia, USA

PHD

Publications

Yao Xiao, Moein Enayati, Gavin M. Schaeferle, Brendan C. Lanpher, Eric W. Klee, Che Ngufor
Enhancing Patient Care in Rare Genetic Diseases: An HPO-based Phenotyping Pipeline. BIBM (2023)
Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. ACM Trans. Comput. Heal. 4 (4) (2023)
Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller
Classification Using Deep Transfer Learning on Structured Healthcare Data. SSCI (2023)
Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor
Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. DSAA (2019)
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
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA (2019)
David Chen, Christopher Scott, Christina L. Luong, Itzhak Z. Attia, Che Ngufor, Adelaide M. Arruda-Olson, Patricia A. Pellikka
Ensemble Imputation for Healthcare Data. AMIA (2019)
Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA (2019)
Che Ngufor, Holly Van Houten, Brian S. Caffo, Nilay D. Shah, Rozalina G. McCoy
Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c. J. Biomed. Informatics 89 (2019)
Thomas J. O'Byrne, M. Regina Castro, Che Ngufor, György J. Simon, Pedro J. Caraballo
Using Electronic Health Record Data to Identify Patients with Prediabetes. AMIA (2019)
Feichen Shen, Vipin Chaudhary, Yan Liu, Che Ngufor, Hongfang Liu
Special Issue on Healthcare Knowledge Discovery and Management. J. Heal. Informatics Res. 3 (2) (2019)
Dennis H. Murphree, Daniel J. Quest, Ryan M. Allen, Che Ngufor, Curtis B. Storlie
Deploying Predictive Models In A Healthcare Environment - An Open Source Approach. EMBC (2018)
David Chen, Gaurav Goyal, Ronald Go, Sameer Parikh, Che Ngufor
Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods. ICHI (2018)
Dennis H. Murphree, Elaheh Arabmakki, Che Ngufor, Curtis B. Storlie, Rozalina G. McCoy
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes. Comput. Biol. Medicine 103 (2018)
Che Ngufor, Rozalina G. McCoy, Lixia Yao, Lindsey R. Sangaralingham, Shannon M. Dunlay, Nilay D. Shah
Identification of Clinically Meaningful Clusters of Multi-morbidity in a National Cohort of Adults Using Unsupervised Learning. AMIA (2017)
Dennis H. Murphree, Che Ngufor
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge. CoRR (2017)
Che Ngufor, Matthew A. Warner, Dennis Murphree, Hongfang Liu, Rickey E. Carter, Curtis B. Storlie, Daryl J. Kor
Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. AMIA (2017)
Che Ngufor, Dennis H. Murphree, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor
Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding. ICHI (2017)
Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor
Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. AMIA (2016)
Che Ngufor, Janusz Wojtusiak
Extreme logistic regression. Adv. Data Anal. Classif. 10 (1) (2016)
Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor
Predicting Adverse Reactions to Blood Transfusion. ICHI (2015)
Che Ngufor, Janusz Wojtusiak, Jyotishman Pathak
A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports. ICHI (2015)
Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach. MedInfo (2015)
Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak
Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes. DSAA (2015)
Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak
A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes. AIME (2015)
Dennis Murphree, Che Ngufor, Sudhindra Upadhyaya, Nageswar Madde, Leanne Clifford, Daryl J. Kor, Jyotishman Pathak
Ensemble learning approaches to predicting complications of blood transfusion. EMBC (2015)
Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor
A Clinical Decision Support System for Preventing Adverse Reactions to Blood Transfusion. ICHI (2015)
Janusz Wojtusiak, Che Ngufor, Lorens Helmchen, Jack Hadley
Creating Clinically Homogeneous Groups of Prostate Cancer Patients. AMIA (2014)
Che Ngufor, Janusz Wojtusiak, Andrea Hooker, Talha Oz, Jack Hadley
Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction. FLAIRS Conference (2014)
Che Ngufor, Janusz Wojtusiak
Unsupervised Labeling of Data for Supervised Learning and its Application to Medical claims Prediction. Comput. Sci. 14 (2) (2013)
Talha Oz, Che Ngufor, Janusz Wojtusiak
Mining Progress Notes for Prediction of Activities of Daily Living. AMIA (2013)
Janusz Wojtusiak, Che Ngufor, John Shiver, Ronald Ewald
Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data. ICMLA (2) (2011)

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Publication Activity (10 Years)

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Che Ngufor