Oguz Akbilgic

Assistant Professor

  • 154 Citations
  • 6 h-Index
20062019
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Electrocardiography Engineering & Materials Science
Pattern recognition Engineering & Materials Science
Atrial Fibrillation Medicine & Life Sciences
Neural networks Engineering & Materials Science
Radial Basis Function Neural Network Mathematics
Lead Engineering & Materials Science
Least Squares Mathematics
Factual Databases Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

  • 154 Citations
  • 6 h-Index
  • 21 Article
  • 5 Conference contribution
  • 1 Conference article
2 Citations

Physonline: An open source machine learning pipeline for real-time analysis of streaming physiological waveform

Sutton, J. R., Mahajan, R., Akbilgic, O. & Kamaleswaran, R., Jan 1 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 1, p. 59-65 7 p., 8353460.

Research output: Contribution to journalArticle

Learning systems
Pipelines
Feature extraction
Pattern matching
Electrocardiography

Vancomycin-Associated Acute Kidney Injury in a Large Veteran Population

Gyamlani, G., Potukuchi, P. K., Thomas, F., Akbilgic, O., Soohoo, M., Streja, E., Naseer, A., Sumida, K., Molnar, M. Z., Kalantar-Zadeh, K. & Kovesdy, C., Jan 1 2019, (Accepted/In press) In : American Journal of Nephrology. p. 133-142 10 p.

Research output: Contribution to journalArticle

Veterans
Vancomycin
Acute Kidney Injury
Population
Linezolid

A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording

Mahajan, R., Kamaleswaran, R. & Akbilgic, O., Apr 6 2018, 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 116-119 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electrocardiography
Atrial Fibrillation
Feature extraction
Entropy
Lead

A novel risk classification system for 30-day mortality in children undergoing surgery

Akbilgic, O., Langham, M., Walter, A. I., Jones, T., Huang, E. & Davis, R., Jan 1 2018, In : PloS one. 13, 1, e0191176.

Research output: Contribution to journalArticle

Factual Databases
infant mortality
Child Mortality
postoperative complications
preschool children
3 Citations
Artificial Intelligence
Sepsis
Sensitivity and Specificity
Critical Illness
Logistic Models