Publications by authors named "Oznur Ozaltin"
Article Synopsis
- Epilepsy is a common neurological disorder and a major healthcare issue, prompting researchers to explore machine learning (ML) for predicting treatment outcomes in patients.* -
- The study involved 229 pediatric patients and compared 11 different ML techniques to assess their effectiveness in identifying responses to anti-seizure medications.* -
- The Support Vector Machine algorithm outperformed others with a high accuracy rate of 97.06% for detecting drug-resistant epilepsy, suggesting a need for early intervention and a multidisciplinary treatment approach.*
Coronavirus disease 2019 (COVID-19) is spreading rapidly around the world. Therefore, the classification of computed tomography (CT) scans alleviates the workload of experts, whose workload increased considerably during the pandemic. Convolutional neural network (CNN) architectures are successful for the classification of medical images.
View Article and Find Full Text PDFA Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet.
Bioengineering (Basel)
December 2022
A brain stroke is a life-threatening medical disorder caused by the inadequate blood supply to the brain. After the stroke, the damaged area of the brain will not operate normally. As a result, early detection is crucial for more effective therapy.
View Article and Find Full Text PDFNowadays, the number of sudden deaths due to heart disease is increasing with the coronavirus pandemic. Therefore, automatic classification of electrocardiogram (ECG) signals is crucial for diagnosis and treatment. Thanks to deep learning algorithms, classification can be performed without manual feature extraction.
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