Che Ngufor

Jonathan W. Inselman, P. Noseworthy, J. Herrin, 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Differences in Physical Activity and Sedentary Behavior Patterns of Postmenopausal Women With Normal vs. Low Total Hip Bone Mineral Density

M. Morrow, Che Ngufor, E. Fortune, 2020, Frontiers in Sports and Active Living.

Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock.

J. Messenger, H. Krumholz, N. Desai, 2020, JAMA.

Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods

Gaurav Goyal, Che Ngufor, David Chen, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

T. Therneau, J. Olson, Hongfang Liu, 2021, BMJ Open.

Using ensemble of ensemble machine learning methods to predict outcomes of cardiac resynchronization

P. Noseworthy, Minglong Chen, P. Friedman, 2021, Journal of cardiovascular electrophysiology.

Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

J. Messenger, H. Krumholz, N. Desai, 2021, JAMA network open.

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment

Jonathan W. Inselman, P. Noseworthy, J. Herrin, 2021, JAMA network open.

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c

Brian Caffo, Che Ngufor, Nilay D. Shah, 2019, J. Biomed. Informatics.

Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data

Janusz Wojtusiak, Che Ngufor, John Shiver, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Unsupervised Labeling of Data for Supervised Learning and its Application to Medical claims Prediction

Janusz Wojtusiak, Che Ngufor, Che Ngufor, 2013, Comput. Sci..

A prediction model for asthma exacerbations after stopping asthma biologics.

Jonathan W. Inselman, N. Shah, Che Ngufor, 2022, Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology.

Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors.

Emma Fortune, Che G Ngufor, Kristin D Zhao, 2019, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Extreme logistic regression

Janusz Wojtusiak, Che Ngufor, Che Ngufor, 2016, Adv. Data Anal. Classif..

A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2015, Conference on Artificial Intelligence in Medicine in Europe.

Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction

Janusz Wojtusiak, Che Ngufor, Talha Oz, 2014, FLAIRS.

A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases

Pedro J. Caraballo, Michael S. Steinbach, György J. Simon, 2019, American Medical Informatics Association Annual Symposium.

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes

Curtis B. Storlie, Dennis Murphree, Che Ngufor, 2018, Comput. Biol. Medicine.

Changes in Kidney Function after Diagnosis of Advanced Heart Failure.

J. Killian, P. Schulte, S. Dunlay, 2023, Journal of Cardiac Failure.

Impact of labor characteristics on maternal and neonatal outcomes of labor: A machine-learning model

B. Borah, Che Ngufor, A. Famuyide, 2022, PloS one.

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data

John A. Miller, Che Ngufor, Christopher Scott, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge pdf

Dennis Murphree, Che Ngufor, Dennis H. Murphree, 2017, ArXiv.

Predicting Adverse Reactions to Blood Transfusion

Jyotishman Pathak, Dennis Murphree, Leanne Clifford, 2015, 2015 International Conference on Healthcare Informatics.

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c

B. Caffo, R. McCoy, Che Ngufor, 2019, J. Biomed. Informatics.