[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports

K Amin, P Khosla, R Doshi, S Chheang… - The Yale Journal of …, 2023 - ncbi.nlm.nih.gov
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

Deep learning-based brain hemorrhage detection in ct reports

G Bayrak, MŞ Toprak, MC Ganiz… - … of Trustable AI and …, 2022 - ebooks.iospress.nl
Radiology reports can potentially be used to detect critical cases that need immediate
attention from physicians. We focus on detecting Brain Hemorrhage from Computed …

Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks

S Bayrak - Knowledge and Information Systems, 2024 - Springer
Unmanned aerial vehicles (UAVs), also known as drones, have become instrumental in
various domains, including agriculture, geographic information systems, media, logistics …

Epilepsy Detection by Different Modalities with the Use of AI-Assisted Models

J Vajiram, S Sivakumar, R Jena… - Artificial Intelligence …, 2024 - ojs.bonviewpress.com
Epilepsy is characterized by recurrent seizures originating from any four brain lobes. It
includes focal seizures with symptoms of alterations in consciousness and cognitive …

Diagnostic Performance Evaluation of Deep Learning-Based Medical Text Modelling to Predict Pulmonary Diseases from Unstructured Radiology Free-Text Reports

S Shetty, A Mahale - Acta Informatica Pragensia, 2023 - ceeol.com
The third most common cause of death worldwide is attributed to pulmonary diseases,
making it imperative to diagnose them promptly. Radiology is a medical discipline that …

Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-Generation Trends

S Bayrak, E Yucel - Next Generation Healthcare Informatics, 2022 - Springer
The use of technological innovations in medicine has led to an increase in efficiency in
disease recognition and to guide human life by facilitating. Intelligent medical systems can …

Text mining aplicado à gestão de fundos públicos

LHB Chinita - 2022 - repositorio.iscte-iul.pt
Este trabalho tem como objetivo analisar documentos textuais submetidos por empresas
portuguesas no momento de candidatura a programas de incentivos empresariais públicos …

Interpretation of Deep Network Predictions on Various Data Sets Using LIME

S Bayrak - Explainable, Interpretable, and Transparent AI Systems - taylorfrancis.com
Black box systems are decision support systems that can be defined as devices, systems, or
objects. They aim to generate the most informative explanation for users without informing …

[PDF][PDF] The Effect of Pre-trained Language Models on Critical Case Detection from Radiology Reports

G BAYRAK, MS TOPRAK, MC GANIZ, H KODAZ… - researchgate.net
Radiology reports has a significant role in disease diagnosis process. On some cases
radiology report may indicate a critical condition on which the doctor attending the patient …

[PDF][PDF] Web Uygulamaları için Derin Öğrenme Yöntemiyle Güvenlik Duvarı Uygulaması Firewall Application with the Deep Learning Method for the Web Applications

Ş Bayrak, B Ardanuç - eleco.org.tr
Özet Günümüzde artan internet kullanımı ile beraber web uygulamalarına karşı yapılan
saldırılar da aynı şekilde artmaktadır ve modern Web Uygulama Güvenlik Duvarları (Web …