Cheng Gao
Cheng Gao
Vanderbilt University, Medical Center
Verified email at vanderbilt.edu
Title
Cited by
Cited by
Year
Accuracy of continuous noninvasive hemoglobin monitoring for the prediction of blood transfusions in trauma patients
SM Galvagno, P Hu, S Yang, C Gao, D Hanna, S Shackelford, ...
Journal of clinical monitoring and computing 29 (6), 815-821, 2015
362015
Deep learning predicts extreme preterm birth from electronic health records
C Gao, S Osmundson, DRV Edwards, GP Jackson, BA Malin, Y Chen
Journal of biomedical informatics 100, 103334, 2019
212019
Comparison of decision-assist and clinical judgment of experts for prediction of lifesaving interventions
CF Mackenzie, C Gao, PF Hu, A Anazodo, H Chen, T Dinardo, PC Imle, ...
Shock 43 (3), 238-243, 2015
142015
Predicting Length of Stay for Obstetric Patients via Electronic Medical Records
CY Gao C, Kho AN, Ivory C, Osmundson S, Malin BA
Medinfo 2017, 1019-1023, 2017
12*2017
Predicting missing values in medical data via XGBoost regression
X Zhang, C Yan, C Gao, BA Malin, Y Chen
Journal of Healthcare Informatics Research 4 (4), 383-394, 2020
92020
Learning opportunities for drug repositioning via GWAS and phewas findings
W Yin, C Gao, Y Xu, B Li, DM Ruderfer, Y Chen
AMIA Summits on Translational Science Proceedings 2018, 237, 2018
92018
Recursive automatic target generation process in subpixel detection
CI Chang, C Gao, SY Chen
IEEE Geoscience and Remote Sensing Letters 12 (9), 1848-1852, 2015
92015
Recursive automatic target generation process for unsupervised hyperspectral target detection
C Gao, CI Chang
2014 IEEE Geoscience and Remote Sensing Symposium, 3598-3601, 2014
92014
Acoustic sensor versus electrocardiographically derived respiratory rate in unstable trauma patients
S Yang, A Menne, P Hu, L Stansbury, C Gao, N Dorsey, W Chiu, ...
Journal of clinical monitoring and computing 31 (4), 765-772, 2017
82017
Trends of hemoglobin oximetry: do they help predict blood transfusion during trauma patient resuscitation?
S Yang, PF Hu, A Anazodo, C Gao, H Chen, C Wade, L Hartsky, C Miller, ...
Anesthesia & Analgesia 122 (1), 115-125, 2016
72016
Fully abundance-constrained endmember finding for hyperspectral images
C Gao, SY Chen, HM Chen, CC Wu, CH Wen, CI Chang
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015
72015
Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning
B Chen, W Alrifai, C Gao, B Jones, L Novak, N Lorenzi, D France, B Malin, ...
Journal of the American Medical Informatics Association 28 (6), 1168-1177, 2021
52021
Learning to identify severe maternal morbidity from electronic health records
C Gao, S Osmundson, X Yan, DV Edwards, BA Malin, Y Chen
Studies in health technology and informatics 264, 143, 2019
52019
Predicting neonatal encephalopathy from maternal data in electronic medical records
T Li, C Gao, C Yan, S Osmundson, BA Malin, Y Chen
AMIA Summits on Translational Science Proceedings 2018, 359, 2018
52018
Progressive endmember finding by fully constrained least squares method
SY Chen, YC Ouyang, C Lin, HM Chen, C Gao, CI Chang
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015
52015
Endmember variability resolved by pixel purity index in hyperspectral imagery
Y Li, C Gao, SY Chen, CI Chang
Satellite Data Compression, Communications, and Processing X 9124, 91240I, 2014
52014
Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study
C Yan, X Zhang, C Gao, E Wilfong, J Casey, D France, Y Gong, M Patel, ...
JMIR human factors 8 (1), e25724, 2021
42021
Modeling COVID-19 growing trends to reveal the differences in the effectiveness of non-pharmaceutical interventions among countries in the world
Y Chen, Y Feng, C Yan, X Zhang, C Gao
medRxiv, 2020
42020
Fisher's ratio-based criterion for finding endmembers in hyperspectral imagery
C Gao, SY Chen, CI Chang
Satellite Data Compression, Communications, and Processing X 9124, 91240K, 2014
42014
A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records
C Gao, C Yan, S Osmundson, BA Malin, Y Chen
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-7, 2019
32019
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Articles 1–20