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ORCIDOguz Akbilgic
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2020 – today
- 2022
[j9]Liam Butler
, Ibrahim Karabayir, Mohammad Samie Tootooni, Majid Afshar, Ari Goldberg, Oguz Akbilgic:
Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic. Int. J. Medical Informatics 158(February): 104662 (2022)- 2021
- [j8]Ibrahim Karabayir, Oguz Akbilgic, Nihat Tas:
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO). IEEE Trans. Neural Networks Learn. Syst. 32(2): 685-694 (2021) - [i1]Oguz Akbilgic, Eun Kyong Shin, Arash Shaban-Nejad:
A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. CoRR abs/2104.04058 (2021) - 2020
- [j7]Ibrahim Karabayir, Samuel M. Goldman, Suguna Pappu, Oguz Akbilgic:
Gradient boosting for Parkinson's disease diagnosis from voice recordings. BMC Medical Informatics Decis. Mak. 20(1): 228 (2020)
2010 – 2019
- 2019
- [j6]Oguz Akbilgic, Ramin Homayouni, Kevin Heinrich, Max Raymond Langham, Robert Lowell Davis:
Unstructured Text in EMR Improves Prediction of Death after Surgery in Children. Informatics 6(1): 4 (2019) - [j5]Jacob R. Sutton, Ruhi Mahajan, Oguz Akbilgic, Rishikesan Kamaleswaran:
PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform. IEEE J. Biomed. Health Informatics 23(1): 59-65 (2019) - 2018
- [j4]Eun Kyong Shin, Ruhi Mahajan, Oguz Akbilgic, Arash Shaban-Nejad:
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. npj Digit. Medicine 1 (2018) - [c6]Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic:
A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording. BHI 2018: 116-119 - [c5]Ruhi Mahajan, Eun Kyong Shin, Arash Shaban-Nejad, Max Raymond Langham, Michelle Y. Martin, Robert Lowell Davis, Oguz Akbilgic:
Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children. EFMI-STC 2018: 80-84 - 2017
- [j3]Ruhi Mahajan, Teeradache Viangteeravat, Oguz Akbilgic:
Improved detection of congestive heart failure via probabilistic symbolic pattern recognition and heart rate variability metrics. Int. J. Medical Informatics 108: 55-63 (2017) - [c4]Ruhi Mahajan, Rishikesan Kamaleswaran, John Andrew Howe, Oguz Akbilgic:
Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest. CinC 2017 - [c3]Teeradache Viangteeravat, Oguz Akbilgic, Robert L. Davis:
Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions. CRI 2017 - [c2]Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic:
Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams. DMAH@VLDB 2017: 73-87 - 2014
- [j2]Oguz Akbilgic, Hamparsum Bozdogan, M. Erdal Balaban:
A novel Hybrid RBF Neural Networks model as a forecaster. Stat. Comput. 24(3): 365-375 (2014) - 2013
- [j1]Hamparsum Bozdogan, Oguz Akbilgic:
Social network analysis of scientific collaborations across different subject fields. Inf. Serv. Use 33(3-4): 219-233 (2013) - [c1]Oguz Akbilgic, Hamparsum Bozdogan:
A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity. ECDA 2013: 13-27 - [d1]Oguz Akbilgic:
ISTANBUL STOCK EXCHANGE. UCI Machine Learning Repository, 2013
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