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Che Ngufor

Showing results (1-10 of 29) with videos related to

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Frontiers in Sports and Active Living|December 21, 2020
Differences in Physical Activity and Sedentary Behavior Patterns of Postmenopausal Women With Normal vs. Low Total Hip Bone Mineral DensitySwati Chopra, Melissa M Morrow, Che Ngufor, et al.
Journal of Healthcare Informatics Research|April 13, 2022
Special Issue on Healthcare Knowledge Discovery and ManagementFeichen Shen, Vipin Chaudhary, Yan Liu, et al.
Journal of Neurosurgery. Spine|June 8, 2019
Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registryAnshit Goyal, Che Ngufor, Panagiotis Kerezoudis, et al.
Studies in Health Technology and Informatics|August 12, 2015
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning ApproachChe Ngufor, Dennis Murphree, Sudhindra Upadhyaya, et al.
Computers in Biology and Medicine|October 23, 2018
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetesDennis H Murphree, Elaheh Arabmakki, Che Ngufor, et al.
JMIR Research Protocols|October 29, 2020
A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With DepressionMaryam Zolnoori, Mark D Williams, William B Leasure, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma TransfusionChe Ngufor, Dennis Murphree, Sudhi Upadhyaya, et al.
Medical Care|September 19, 2017
Trajectories of Glycemic Change in a National Cohort of Adults With Previously Controlled Type 2 DiabetesRozalina G McCoy, Che Ngufor, Holly K Van Houten, et al.
Journal of Biomedical Informatics|September 7, 2018
Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1cChe Ngufor, Holly Van Houten, Brian S Caffo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Deploying Predictive Models In A Healthcare Environment - An Open Source ApproachDennis H Murphree, Daniel J Quest, Ryan M Allen, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Frontiers in Sports and Active Living|December 21, 2020
Differences in Physical Activity and Sedentary Behavior Patterns of Postmenopausal Women With Normal vs. Low Total Hip Bone Mineral DensitySwati Chopra, Melissa M Morrow, Che Ngufor, et al.
Journal of Healthcare Informatics Research|April 13, 2022
Special Issue on Healthcare Knowledge Discovery and ManagementFeichen Shen, Vipin Chaudhary, Yan Liu, et al.
Journal of Neurosurgery. Spine|June 8, 2019
Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registryAnshit Goyal, Che Ngufor, Panagiotis Kerezoudis, et al.
Studies in Health Technology and Informatics|August 12, 2015
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning ApproachChe Ngufor, Dennis Murphree, Sudhindra Upadhyaya, et al.
Computers in Biology and Medicine|October 23, 2018
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetesDennis H Murphree, Elaheh Arabmakki, Che Ngufor, et al.
JMIR Research Protocols|October 29, 2020
A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With DepressionMaryam Zolnoori, Mark D Williams, William B Leasure, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma TransfusionChe Ngufor, Dennis Murphree, Sudhi Upadhyaya, et al.
Medical Care|September 19, 2017
Trajectories of Glycemic Change in a National Cohort of Adults With Previously Controlled Type 2 DiabetesRozalina G McCoy, Che Ngufor, Holly K Van Houten, et al.
Journal of Biomedical Informatics|September 7, 2018
Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1cChe Ngufor, Holly Van Houten, Brian S Caffo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Deploying Predictive Models In A Healthcare Environment - An Open Source ApproachDennis H Murphree, Daniel J Quest, Ryan M Allen, et al.
Pageof 3