oguz akbilgic
oguz akbilgic
Wake Forest School of Medicine
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Cited by
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A novel hybrid RBF neural networks model as a forecaster
O Akbilgic, H Bozdogan, ME Balaban
Statistics and Computing 24, 365-375, 2014
Applying artificial intelligence to identify physiomarkers predicting severe sepsis in the PICU
R Kamaleswaran, O Akbilgic, MA Hallman, AN West, RL Davis, SH Shah
Pediatric Critical Care Medicine 19 (10), e495-e503, 2018
Occurrence and origin of methane in groundwater in Alberta (Canada): Gas geochemical and isotopic approaches
P Humez, B Mayer, J Ing, M Nightingale, V Becker, A Kingston, O Akbilgic, ...
Science of the Total Environment 541, 1253-1268, 2016
Natal cleft deeper in patients with pilonidal sinus: implications for choice of surgical procedure
OF Akinci, M Kurt, A Terzi, I Atak, IE Subasi, O Akbilgic
Diseases of the colon & rectum 52 (5), 1000-1002, 2009
A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length
R Kamaleswaran, R Mahajan, O Akbilgic
Physiological measurement 39 (3), 035006, 2018
Gradient boosting for Parkinson’s disease diagnosis from voice recordings
I Karabayir, SM Goldman, S Pappu, O Akbilgic
BMC Medical Informatics and Decision Making 20 (1), 1-7, 2020
Cardiac rhythm classification from a short single lead ECG recording via random forest
R Mahajan, R Kamaleswaran, JA Howe, O Akbilgic
2017 Computing in Cardiology (CinC), 1-4, 2017
Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age
JFP Kent A. Willis, John H. Purvis, Erin D. Myers, Michael M. Aziz, Ibrahim ...
The FASEB Journal, 1-13, 2019
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits
EK Shin, R Mahajan, O Akbilgic, A Shaban-Nejad
NPJ digital medicine 1 (1), 50, 2018
PhysOnline: an open source machine learning pipeline for real-time analysis of streaming physiological waveform
JR Sutton, R Mahajan, O Akbilgic, R Kamaleswaran
IEEE journal of biomedical and health informatics 23 (1), 59-65, 2018
Prediction of steam-assisted gravity drainage steam to oil ratio from reservoir characteristics
O Akbilgic, D Zhu, ID Gates, JA Bergerson
Energy 93, 1663-1670, 2015
Improved detection of congestive heart failure via probabilistic symbolic pattern recognition and heart rate variability metrics
R Mahajan, T Viangteeravat, O Akbilgic
International journal of medical informatics 108, 55-63, 2017
Machine learning to identify dialysis patients at high death risk
O Akbilgic, Y Obi, PK Potukuchi, I Karabayir, DV Nguyen, M Soohoo, ...
Kidney international reports 4 (9), 1219-1229, 2019
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
I Karabayir, O Akbilgic, N Tas
IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS …, 2020
How much data should we collect? A case study in sepsis detection using deep learning
F van Wyk, A Khojandi, R Kamaleswaran, O Akbilgic, S Nemati, RL Davis
2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT …, 2017
A meta-analysis of carbon capture and storage technology assessments: Understanding the driving factors of variability in cost estimates
O Akbilgic, G Doluweera, M Mahmoudkhani, J Bergerson
Applied Energy 159, 11-18, 2015
ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
O Akbilgic, L Butler, I Karabayir, PP Chang, DW Kitzman, A Alonso, ...
European Heart Journal-Digital Health 2 (4), 626-634, 2021
Interaction of zinc oxide nanoparticles with water: implications for catalytic activity
TB Rawal, A Ozcan, SH Liu, SV Pingali, O Akbilgic, L Tetard, H O’Neill, ...
ACS Applied Nano Materials 2 (7), 4257-4266, 2019
Race, preoperative risk factors, and death after surgery
O Akbilgic, MR Langham, RL Davis
Pediatrics 141 (2), 2018
Vancomycin-associated acute kidney injury in a large veteran population
G Gyamlani, PK Potukuchi, F Thomas, O Akbilgic, M Soohoo, E Streja, ...
American journal of nephrology 49 (2), 133-142, 2019
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