Oğuz Akbilgiç
Wake Forest University(US)
Publications by Year
Research Areas
ECG Monitoring and Analysis, Machine Learning in Healthcare, Heart Rate Variability and Autonomic Control, Heart Failure Treatment and Management, Atrial Fibrillation Management and Outcomes
Most-Cited Works
- → Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU*(2018)120 cited
- → A novel Hybrid RBF Neural Networks model as a forecaster(2013)118 cited
- → A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length(2018)105 cited
- → ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure(2021)99 cited
- → Gradient boosting for Parkinson’s disease diagnosis from voice recordings(2020)83 cited
- → Occurrence and origin of methane in groundwater in Alberta (Canada): Gas geochemical and isotopic approaches(2015)82 cited
- → Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits(2018)66 cited
- → Machine Learning to Identify Dialysis Patients at High Death Risk(2019)64 cited
- → Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age(2019)62 cited
- → Natal Cleft Deeper in Patients with Pilonidal Sinus(2009)60 cited