Kurum Yazarı "Doğuç, Özge" İçin Listeleme
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Analysis of customer churn in the banking industry using data mining
Doğuç, Özge (2022)Today, banks have a very important place in the great economic environments of countries. As in every sector, there are many competitors and a great competitive environment in the banking field. Especially individual ... -
Data mining applications in banking sector while preserving customer privacy
Doğuç, Özge (Ital Publication, 2022)In real-life data mining applications, organizations cooperate by using each other’s data on the same data mining task for more accurate results, although they may have different security and privacy concerns. Privacy-preserving ... -
A decision support system for detecting FIP disease in cats based on machine learning methods
Cats are close friends who live with us in all aspects of life. Many diseases endanger the quality of life of cats that live with us. One of the most dangerous is infectious peritonitis in cats, also known as FIP; which ... -
Detecting Turkish fake news via text mining to protect brand integrity
Doğuç, Özge (Gazi University, 2022)Fake news has been in our lives as part of the media for years. With the recent spread of digital news platforms, it affects not only traditional media but also online media as well. Therefore, while companies seek to ... -
Diagnosis of Covid-19 via patient breath data using artificial intelligence
Doğuç, Özge; Silahtaroğlu, Gökhan; Canbolat, Zehra Nur; Hambarde, Kailash; Yiğitbaşı, Ahmet Alperen; Gökay, Hasan; Yılmaz, Mesut (Ital Publication, 2023)Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controlling the epidemic. This study aims to develop ... -
An early warning system using machine learning for the detection of intracranial hematomas in the emergency trauma setting
Aydoseli, Aydın; Ünal, Tuğrul Cem; Kardeş, Onur; Doğuç, Özge; Dolaş, İlyas; Adıyaman, Ali Ekrem; Ortahisar, Emircan; Silahtaroğlu, Gökhan; Aras, Yavuz; Sabancı, Pulat Akın; Sencer, Serra; Sencer, Altay (Turkish Neurosurgical Society, 2022)AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm for the rapid detection of extra-axial hematomas (EAHs) in an emergency trauma setting. MATERIAL and METHODS: A total of ... -
How will metaverse and ai change traditional marketing techniques?
Doğuç, Özge (IGI Global, 2023)The development of technology has transformed the process of product development and customer relationship building. It shows impressive results in deep learning and AI applications. Companies can see farther and make ... -
Intelligent early warning system for epidural acute hematomas
Doğuç, Özge (International Balkan University, 2020)Epidural hematoma (EAH) is the accumulation of blood in the space between the outer membrane of the brain (dura mater) and the bone. Acute subdural and epidural hematoma appears on CT scan as a hyper-dense collection often ... -
An intelligent system for document-based banking processes
Doğuç, Özge (Kahramanmaras Sutcu Imam University, 2022)Business process automation has been helping companies by eliminating mundane and repetitive tasks. Automation tools have been used in many sectors, providing high full-time employee (FTE) savings and low error rates to ... -
Recent applications of data mining in medical diagnosis and prediction
Doğuç, Özge; Canbolat, Zehra Nur; Silahtaroğlu, Gökhan (Elsevier, 2022)Big data has been used in the health sector to improve the quality of life, predict epidemics, cure diseases, and avoid preventable deaths, beyond increasing profits or reducing the burden of excess labor. Data sources in ... -
Robot process automation (RPA) and its future
Doğuç, Özge (IGI Global, 2021)Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA ...