Oguz Akbilgic

Orcid: 0000-0003-0313-9254

According to our database1, Oguz Akbilgic authored at least 17 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2022
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, 2022

2021
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO).
IEEE Trans. Neural Networks Learn. Syst., 2021

A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery.
CoRR, 2021

2020
Gradient boosting for Parkinson's disease diagnosis from voice recordings.
BMC Medical Informatics Decis. Mak., 2020

2019
PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform.
IEEE J. Biomed. Health Informatics, 2019

Unstructured Text in EMR Improves Prediction of Death after Surgery in Children.
Informatics, 2019

2018
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits.
npj Digit. Medicine, 2018

Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children.
Proceedings of the Decision Support Systems and Education, 2018

A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Improved detection of congestive heart failure via probabilistic symbolic pattern recognition and heart rate variability metrics.
Int. J. Medical Informatics, 2017

Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams.
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017

Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions.
Proceedings of the Summit on Clinical Research Informatics, 2017

Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest.
Proceedings of the Computing in Cardiology, 2017

2014
A novel Hybrid RBF Neural Networks model as a forecaster.
Stat. Comput., 2014

2013
ISTANBUL STOCK EXCHANGE.
Dataset, May, 2013

Social network analysis of scientific collaborations across different subject fields.
Inf. Serv. Use, 2013

A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity.
Proceedings of the Data Science, 2013


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