Browsing by Author "Doğuç, Özge"
Now showing items 1-13 of 13
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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 ... -
Analysis of digital marketing strategies of deposit banks in Turkey via text mining twitter posts
Aytaç, Ömer Berkay; Silahtaroğlu, Gökhan; Doğuç, Özge (Springer, 2020)In today’s world, marketing activities of organizations through social media have become extremely important. While earlier marketing campaigns of organizations were provided through television advertisements and posters, ... -
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 ... -
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 ... -
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 ... -
Lemmatizer: Akıllı Türkçe kök bulma yöntemi
Doğuç, Özge; Aytaç, Ömer Berkay; Silahtaroğlu, Gökhan (International Balkan University, 2020)Yakın zamanda Türkçe doğal dil işleme alanında çeşitli çalışmalar yapılmıştır. Bu çalışmalar, üretilen akıllı bir sistemin Türkçe soru cevaplama, yazıyı başka bir dile çevirme, yazıyı özetleme,e-postalara otomatik yanıt ... -
A machine learning approach to predict creatine kinase test results
Canbolat, Zehra Nur; Silahtaroğlu, Gökhan; Doğuç, Özge; Yılmaztürk, Nevin (Ital Publication, 2020)Most of the research done in the literature are based on statistical approaches and used for deriving reference limits based on lab results. As more data are available to the researchers, ML methods are more effectively ... -
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, 2019)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 ... -
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 ... -
Robotic Process Automation (RPA) applications in COVID-19
Doğuç, Özge (Springer Science and Business Media Deutschland GmbH, 2021)The COVID-19 pandemic took the entire world by surprise. Governments and companies hastily implemented measures to protect public health as well as the countries’ economies. Many companies had to close their offices and ... -
RPA in energy and utilities
Doğuç, Özge (Springer Science and Business Media Deutschland GmbH, 2021)Robotic Process Automation (RPA) is an effective technology that uses software robots that typically mimic an employee to automate everyday tasks. These tasks are often related to the business processes of the E&U companies ...
